The Effect of Out-of-Hours Admission on Mortality in Patients Who Underwent Thrombectomy Due to Ischemic Stroke

Background

It is important to investigate the factors that may delay the diagnosis and treatment process of ischemic stroke. The aim of this study was to investigate whether in-hospital mortality increased in patients who presented to the emergency department out-of-hours and underwent thrombectomy.

Methods

A total of 59 patients who applied to the emergency department between January 1, 2018 and November 1, 2021 and underwent thrombectomy due to ischemic stroke were included in the study. Patient age, gender, thrombectomy success (successful recanalization), in-hospital mortality status, intracranial hemorrhage status after thrombectomy, and out-of-hours admission status were recorded and compared according to out-of-hours admission status.

Results

Twenty-seven (45.8%) patients were male, and the median age was 74 (61-81) years. Forty-two (71.2%) patients applied to the emergency department out-of-hours. In-hospital mortality occurred in 27 (45.8%) patients. There was no statistically significant difference in out-of-hours admission status between the non-survivor group and the survivor group (non-survivor: 24 [75%]; survivor: 18 [66.7%], p = 0.481). Nor was a statistically significant difference found in the intracranial hemorrhage complication rate of the patients admitted out-of-hours compared to the patients admitted during working hours (out-of-hours: 17 [40.5%]; during working hours: 6 [35.3%], p = 0.712).

Conclusion

No statistically significant difference was found in the rate of in-hospital mortality and intracranial bleeding complications in patients who underwent thrombectomy out of working hours compared to during working hours.

An Evaluation of the National Early Warning Score 2 and the Laboratory Data Decision Tree Early Warning Score in Predicting Mortality in Geriatric Patients

BACKGROUND

Due to the high rate of geriatric patient visits, scoring systems are needed to predict increasing mortality rates.

OBJECTIVE

In this study, we aimed to investigate the in-hospital mortality prediction power of the National Early Warning Score 2 (NEWS2) and the Laboratory Data Decision Tree Early Warning Score (LDT-EWS), which consists of frequently performed laboratory parameters.

METHODS

We retrospectively analyzed 651 geriatric patients who visited the emergency department (ED), were not discharged on the same day from ED, and were hospitalized. The patients were categorized according to their in-hospital mortality status. The NEWS2 and LDT-EWS values of these patients were calculated and compared on the basis of deceased and living patients.

RESULTS

Median (interquartile range [IQR]) NEWS2 and LDT-EWS values of the 127 patients who died were found to be statistically significantly higher than those of the patients who survived (NEWS2: 5 [3-8] vs. 3 [1-5]; p < 0.001; LDT-EWS: 8 [7-10] vs. 6 [5-8]; p < 0.001). In the receiver operating characteristic curve analysis, the NEWS2, LDT-EWS, and NEWS2+LDT-EWS-formed by the sum of the two scoring systems-resulted in 0.717, 0.705, and 0.775 area under curve values, respectively.

CONCLUSIONS

The NEWS2 and LDT-EWS were found to be valuable for predicting in-hospital mortality in geriatric patients. The power of the NEWS2 to predict in-hospital mortality increased when used with the LDT-EWS.

The Role of Procalcitonin/Albumin Ratio and CRP/Albumin Ratio in Predicting In-hospital Mortality in COVID-19 Patients

Background

Hospitalized coronavirus disease 2019 (COVID-19) patients have higher mortality rates. Parameters to predict mortality are needed. Therefore, we investigated the power of procalcitonin/albumin ratio (PAR) and C-reactive protein/albumin ratio (CAR) to predict in-hospital mortality in hospitalized COVID-19 patients.

Methods

In this study, 855 patients were included. Patients' PAR and CAR values were recorded from the hospital information management system. The patients were evaluated in two groups according to their in-hospital mortality status.

Results

In-hospital mortality was observed in 163 patients (19.1%). The median PAR and CAR values of patients in the non-survivor group were statistically significantly higher than those of patients in the survivor group, PAR (median: 0.07, interquartile range [IQR]: 0.03-0.33 vs. median: 0.02, IQR: 0.01-0.04, respectively; p < 0.001); CAR (median: 27.60, IQR: 12.49-44.91 vs. median: 7.47, IQR: 2.66-18.93, respectively; p < 0.001). The area under the curve (AUC) and odds ratio (OR) values obtained by PAR to predict in-hospital mortality were higher than the values obtained by procalcitonin, CAR, albumin, and CRP (AUCs of PAR, procalcitonin, CAR, albumin, and CRP: 0.804, 0.792, 0.762, 0.755, and 0.748, respectively; OR: PAR > 0.04, procalcitonin > 0.14, CAR > 20.59, albumin < 4.02, and CRP > 63; 8.215, 7.134, 5.842, 6.073, and 5.07, respectively). Patients with concurrent PAR > 0.04 and CAR > 20.59 had an OR of 15.681 compared to patients with concurrent PAR < 0.04 and CAR < 20.59.

Conclusions

In this study, PAR was found to be more valuable for predicting in-hospital COVID-19 mortality than all other parameters. In addition, concurrent high levels of PAR and CAR were found to be more valuable than a high level of PAR or CAR alone.

The Role of NEWS2 + Lactate + D-Dimer in Predicting Intensive Care Unit Admission and In-Hospital Mortality of COVID-19 Patients

BACKGROUND

We investigated the parameters of National Early Warning Score 2 (NEWS2) + lactate + D-dimer in predicting the intensive care unit (ICU) admission and in-hospital mortality in patients hospitalized with COVID-19.

METHODS

Patients, who applied to the emergency department of a tertiary university hospital and were taken to the COVID-19 zone with suspected COVID-19 between March 2020 and June 2020, were retrospectively examined. In this study, 244 patients, who were hospitalized and had positive polymerase chain reaction test results, were included. NEWS2, lactate, and D-dimer levels of the patients were recorded. Patients were grouped by the states of in-hospital mortality and ICU admission.

RESULTS

Of 244 patients who were included in the study, 122 (50%) were male, while their mean age was 53.76 ± 17.36 years. 28 (11.5%) patients were admitted to the ICU, while in-hospital mortality was seen in 14 (5.7%) patients. The levels of D-dimer, NEWS2, NEWS2 + lactate, NEWS2 + D-dimer, NEWS2 + lactate + D-dimer were statistically significantly higher in patients with in-hospital mortality and admitted to ICU ( p < 0.05). The area under the curve (AUC) values of D-dimer, lactate, NEWS2, NEWS2 + lactate, NEWS2 + D-dimer, NEWS2 + lactate + D-dimer in predicting ICU admission were as 0.745 (0.658-0.832), 0.589 (0.469-0.710), 0.760 (0.675-0.845), 0.774 (0.690-0.859), 0.776 (0.692-0.860), and 0.778 (0.694-0.862), respectively; while the AUC values of these parameters in predicting in-hospital mortality were found to be as 0.768 (0.671-0.865), 0.695 (0.563-0.827), 0.735 (0.634-0.836), 0.757 (0.647-0.867), 0.752 (0.656-0.848), and 0.764 (0.655-0.873), respectively.

CONCLUSIONS

Compared to using the NEWS2 value alone, a combination of NEWS2, lactate, and D-dimer was found to be more valuable in predicting in-hospital mortality and ICU admission.

Comparison of Endotracheal Intubations Performed With Direct Laryngoscopy and Video Laryngoscopy Scenarios With and Without Compression: A Manikin-Simulated Study

Background

Optimal management for trauma-induced coagulopathy (TIC) is a clinical conundrum. In conjunction with the transfusion of fresh-frozen plasma (FFP), additional administration of prothrombin complex concentrate (PCC) was proposed to bring about further coagulative benefit. However, investigations evaluating the efficacy as well as corresponding side effects were scarce and inconsistent. The aim of this study was to systematically review current literature and to perform a meta-analysis comparing FFP+PCC with FFP alone.

Methods

Web search followed by manual interrogation was performed to identify relevant literatures fulfilling the following criteria, subjects as TIC patients taking no baseline anticoagulants, without underlying coagulative disorders, and reported clinical consequences. Those comparing FFP alone with PCC alone were excluded. Comprehensive Meta-analysis software was utilized, and statistical results were delineated with odd ratio (OR), mean difference (MD), and 95% confidence interval (CI). I² was calculated to determine heterogeneity. The primary endpoint was set as all-cause mortality, while the secondary endpoint consisted of international normalized ratio (INR) correction, transfusion of blood product, and thrombosis rate.

Results

One hundred and sixty-four articles were included for preliminary evaluation, 3 of which were qualified for meta-analysis. A total of 840 subjects were pooled for assessment. Minimal heterogeneity was present in the comparisons (I² < 25%). In the PCC + FFP cohort, reduced mortality rate was observed (OR: 0.631; 95% CI: 0.450-0.884, p = 0.007) after pooling. Meanwhile, INR correction time was shorter under PCC + FFP (MD: -608.300 mins, p < 0.001), whilst the rate showed no difference (p = 0.230). The PCC + FFP group is less likely to mandate transfusion of packed red blood cells (p < 0.001) and plasma (p < 0.001), but not platelet (p = 0.615). The incidence of deep vein thrombosis was comparable in the two groups (p = 0.460).

Conclusions

Compared with FFP only, PCC + FFP demonstrated better survival rate, favorable clinical recovery and no elevation of thromboembolism events after TIC.

The role of the BUN/albumin ratio in predicting mortality in COVID-19 patients in the emergency department

Introduction

Due to the high mortality and spread rates of coronavirus disease 2019 (COVID-19), there are currently serious challenges in emergency department management. As such, we investigated whether the blood urea nitrogen (BUN)/albumin ratio (BAR) predicts mortality in the COVID-19 patients in the emergency department.

Methods

A total of 602 COVID-19 patients who were brought to the emergency department within the period from March to September 2020 were included in the study. The BUN level, albumin level, BAR, age, gender, and in-hospital mortality status of the patients were recorded. The patients were grouped by in-hospital mortality. Statistical comparison was conducted between the groups.

Results

Of the patients who were included in the study, 312(51.8%) were male, and their median age was 63 years (49–73). There was in-hospital mortality in 96(15.9%) patients. The median BUN and BAR values of the patients in the non-survivor group were significantly higher than those in the survivor group (BUN: 24.76 [17.38–38.31] and 14.43 [10.84–20.42], respectively [p < 0.001]; BAR: 6.7 [4.7–10.1] and 3.4 [2.5–5.2], respectively [p < 0.001]). The mean albumin value in the non-survivor group was significantly lower than that in the survivor group (3.60 ± 0.58 and 4.13 ± 0.51, respectively; p < 0.001). The area-under-the-curve (AUC) and odds ratio values obtained by BAR to predict in-hospital COVID-19 mortality were higher than the values obtained by BUN and albumin (AUC of BAR, BUN, and albumin: 0.809, 0.771, and 0.765, respectively; odds ratio of BAR>3.9, BUN>16.05, and albumin<4.01: 10.448, 7.048, and 6.482, respectively).

Conclusion

The BUN, albumin, and BAR levels were found to be reliable predictors of in-hospital mortality in COVID-19 patients, but BAR was found to be a more reliable predictor than the BUN and albumin levels.

Comparison of cardiopulmonary resuscitation that applied synchronous 30 compressions–2 ventilations with that applied asynchronous 110/min compression–10/min ventilation: A mannequin study

Background:

CPR model of a resuscitation to be ventilated with a bag valve mask constitutes a discussion when evaluated with the current guidance.

Objective:

This study aims to compare the synchronous (30–2) ventilation–compression method with asynchronous 110/min compression–10/min ventilation in cardiac arrests where an advanced airway management is not applied and where ventilation is provided by a bag valve mask on a mannequin.

Methods:

This simulation trial was performed using two clinical cardiopulmonary resuscitation scenarios: an asynchronous scenario with 10 ventilations per minute asynchronously when compression is applied as 110 compression per minute and a synchronous scenario in which 30 compressions:2 ventilations were performed synchronously. A total of 100 people in 50 groups applied these two scenarios on mannequin. Ventilation and compression data of both scenarios were recorded.

Results:

Evaluating the compression criteria in both the scenarios performed by 50 groups in total, in terms of all criteria except compression fraction, there was no statistically difference between the two scenarios (p > 0.05). Compression fraction values in the asynchronous scenario were found to be statistically significantly higher than the synchronous scenario (96.02 ± 2.35, 81.34 ± 4.42, p < 0.001). Evaluating the ventilation criteria in both the scenarios performed by 50 groups in total; there was a statistically significant difference in all criteria. Mean ventilation rate of the asynchronous scenario was statistically higher than the synchronous scenario (7.22 ± 2.42, 5.08 ± 0.75, p < 0.001). Mean ventilation volume of the synchronous scenario was statistically higher than the asynchronous scenario (353.24 ± 45.46, 527.40 ± 96.60, p < 0.001). Ventilation ratio in sufficient volume of the synchronous scenario was statistically higher than the asynchronous scenario (36.84 ± 14.47, 75.00 ± 21.24, p < 0.001). Ventilation ratio below the minimum volume limit of the asynchronous scenario was statistically higher than the synchronous scenario (62.48 ± 14.72, 17.86 ± 19.50, p < 0.001).

Conclusion:

In our study, we concluded that the cardiopulmonary resuscitation applied by the synchronous method reached better ventilation volumes. Evaluating together with any interruption in compression, comprehensive studies are needed to reveal which patients would benefit from this result.