Weekend Effect and Mortality Outcomes in Aortic Dissection: A Prospective Analysis.

Background: Aortic dissection (AD) is a critical heart condition with potentially severe outcomes. Our study aimed to investigate the existence of a "weekend effect" in AD by examining the correlation between patient outcomes and whether their treatment occurred on weekdays versus weekends. Methods: Specifically, we prospectively analysed the effect of weekday and weekend treatment on acute AD patient outcomes, both before surgical intervention and during hospitalization, for 124 patients treated from 2019-2021, as well as during 6 months of follow-up. Results: The mean age of the study population was 62.5 years, and patient age exhibited a high degree of variability. We recorded a mortality rate before surgery of 8.65% for the weekend group and 15% for the weekday group, but this difference was not statistically significant. During hospitalization, mortality was 50% in the weekend group and 25% in the weekday group, but this difference was not statistically significant. Discharge mortality was 9.61% in the weekend group and 5% in the weekday group. Conclusions: Our findings suggest that there was no significant difference in mortality rates between patients admitted to the hospital on weekends versus weekdays. Therefore, the period of the week when a patient presents to the hospital with AD appears not to affect their mortality.

Acute-to-chronic glycemic ratio as an outcome predictor in ischemic stroke in patients with and without diabetes mellitus.

OBJECTIVE: Elevated plasma glucose levels are common in patients suffering acute ischemic stroke (AIS), and acute hyperglycemia has been defined as an independent determinant of adverse outcomes. The impact of acute-to-chronic glycemic ratio (ACR) has been analyzed in other diseases, but its impact on AIS prognosis remains unclear. The main aim of this study was to assess whether the ACR was associated with a 3-month poor prognosis in patients with AIS. RESEARCH, DESIGN AND METHODS: Retrospective analysis of patients admitted for AIS in Hospital del Mar, Barcelona. To estimate the chronic glucose levels (CGL) we used the formula eCGL= [28.7xHbA1c (%)]-46.7. The ACR (glycemic at admission / eCGL) was calculated for all subjects. Tertile 1 was defined as: 0.28-0.92, tertile 2: 0.92-1.13 and tertile 3: > 1.13. Poor prognosis at 3 months after stroke was defined as mRS score 3-6. RESULTS: 2.774 subjects with AIS diagnosis were included. Age, presence of diabetes, previous disability (mRS), initial severity (NIHSS) and revascularization therapy were associated with poor prognosis (p values < 0.05). For each 0.1 increase in ACR, there was a 7% increase in the risk of presenting a poor outcome. The 3rd ACR tertile was independently associated with a poor prognosis and mortality. In the ROC curves, adding the ACR variable to the classical clinical model did not increase the prediction of AIS prognosis (0.786 vs. 0.781). CONCLUSIONS: ACR was positively associated with a poor prognosis and mortality at 3-months follow-up after AIS. Subjects included in the 3rd ACR tertile presented a higher risk of poor prognosis and mortality. Baseline glucose or ACR did not add predictive value in comparison to only using classical clinical variables.

Clinical impact of multidisciplinary carbapenem stewardship interventions: a retrospective cohort study.

BACKGROUND: Antimicrobial stewardship (AMS) program aims to optimise antimicrobial utilisation and curb antimicrobial resistance. We investigated the clinical impact of AMS among patients with carbapenem in medical wards of a tertiary hospital. METHODS: A retrospective cohort study was conducted on hospitalised adult patients treated with carbapenem and reviewed by a multidisciplinary AMS team. We compared the clinical outcomes of accepted (n = 103) and not-accepted AMS intervention cases (n = 37). The outcomes evaluated include trends of total white blood cells (TWBC), C-reactive protein (CRP), body temperature at day-7, and clinical status at day-30 post-AMS intervention. RESULTS: The interventions included discontinuation (50%), de-escalation (47.9%) and escalation (2.1%) of antibiotics, where the acceptance rate was 67.1%, 80.6% and 66.7%, respectively. Overall, we found no significant difference in clinical outcomes between accepted and not-accepted AMS interventions at day-7 and day-30 post-interventions. On day-7, 62.0% of patients in the accepted group showed decreased or normalised TWBC and CRP levels compared to 47.4% of the not-accepted group (p = 0.271). The mortality at day-30 (32% versus 35%, p = 0.73), discharge rate (53.4% versus 45.9%, p = 0.437), and median length of hospital stay (36.0 versus 30.0 days, p = 0.526) between the groups were comparable. The predictors of 30-day mortality in the study subjects were Charlson Comorbidity Index > 3 (OR: 2.84, 95% CI 1.28-6.29, p = 0.010) and being febrile at day-7 (OR: 4.58, 95% CI 1.83-11.5, p = 0.001). CONCLUSION: AMS interventions do not result in significant adverse clinical impact and mortality risk.

Soluble Urokinase-Type Plasminogen Activator Receptor as a Prognostic Marker of Ugandan Children at Risk of Severe and Fatal Malaria.

BACKGROUND: Current malaria diagnostic tests do not reliably identify children at risk of severe and fatal infection. Host immune and endothelial activation contribute to malaria pathogenesis. Soluble urokinase-type plasminogen activator receptor (suPAR) is a marker of these pathways. We hypothesized that measuring suPAR at presentation could risk-stratify children with malaria. METHODS: Plasma suPAR levels were determined in consecutive febrile children with malaria at presentation to hospital in Jinja, Uganda. We evaluated the accuracy of suPAR in predicting in-hospital mortality, and whether suPAR could improve a validated clinical scoring system (Lambaréné Organ Dysfunction Score [LODS]). RESULTS: Of the 1226 children with malaria, 39 (3.2%) died. suPAR concentrations at presentation were significantly higher in children who went on to die than in those who survived (P < .0001). suPAR levels were associated with disease severity (LODS: 0 vs 1, P = .001; 1 vs 2, P < .001; 2 vs 3, 0 vs 2, 1 vs 3, and 0 vs 3, P < .0001). suPAR concentrations were excellent predictors of in-hospital mortality (area under the receiver operating characteristic curve [AUROC], 0.92 [95% confidence interval {CI}, .91-.94]). The prognostic accuracy of LODS (AUROC, 0.93 [95% CI, .91-.94]) was improved when suPAR was added (AUROC, 0.97 [95% CI, .96-.98]; P < .0001). CONCLUSIONS: Measuring suPAR at presentation can identify children at risk of severe and fatal malaria. Adding suPAR to clinical scores could improve the recognition and triage of children at risk of death. suPAR can be detected with a point-of-care test and can now be evaluated in prospective trials.

Clinical and laboratory characteristics of multisystem inflammatory syndrome in children associated with COVID-19 in Egypt: A tertiary care hospital experience.

AIM: We aimed to evaluate MIS-C patients' clinical manifestations, laboratory test results and mortality outcomes in an Egyptian tertiary care university hospital. METHODS: We conducted a 12 month cross-sectional study in a tertiary-care university children's hospital. All paediatric patients (1 month to 16 years old) who met the CDC criteria for MIS-C were enrolled in the study. We assessed patients' clinical presentations, complications, treatments, imaging studies, laboratory test results and outcomes. The baseline clinical and laboratory findings of survivors and non-survivors were compared. RESULTS: Of 45 MIS-C patients, 24 (53.3%) were males, and the median (interquartile range) age was 4 (1.25-10) years. All patients had fever, 64.4% had respiratory manifestations, 48.9% presented with coma, 44.4% presented with shock, 33.3% presented with seizures, 31.1% had abdominal pain, 28.9% had vomiting and 22.2% presented with cerebrovascular stroke. A total of 15 (33.3%) patients died, and the non-survivors had a significantly higher incidence of respiratory manifestations (P = 0.028), shock (P = 0.034), cerebrovascular stroke (P = 0.043) and seizures (P = 0.044) as compared to the survivors. In addition, the serum levels of ferritin (P = 0.047), alanine aminotransferase (P = 0.047) and aspartate aminotransferase (P = 0.05) were significantly higher in the non-survivors as compared to the survivors. CONCLUSIONS: Based on our findings, MIS-C associated with COVID-19 is a potentially fatal illness. Hospitalised patients with MIS-C often have multi-organ injuries affecting the respiratory, cardiovascular, gastrointestinal and neurological systems. The deceased are more likely to exhibit respiratory manifestations, shock, cerebrovascular stroke, seizures and elevated serum levels of ferritin and liver enzymes.

Joint modeling strategy for using electronic medical records data to build machine learning models: an example of intracerebral hemorrhage.

BACKGROUND: Outliers and class imbalance in medical data could affect the accuracy of machine learning models. For physicians who want to apply predictive models, how to use the data at hand to build a model and what model to choose are very thorny problems. Therefore, it is necessary to consider outliers, imbalanced data, model selection, and parameter tuning when modeling. METHODS: This study used a joint modeling strategy consisting of: outlier detection and removal, data balancing, model fitting and prediction, performance evaluation. We collected medical record data for all ICH patients with admissions in 2017-2019 from Sichuan Province. Clinical and radiological variables were used to construct models to predict mortality outcomes 90 days after discharge. We used stacking ensemble learning to combine logistic regression (LR), random forest (RF), artificial neural network (ANN), support vector machine (SVM), and k-nearest neighbors (KNN) models. Accuracy, sensitivity, specificity, AUC, precision, and F1 score were used to evaluate model performance. Finally, we compared all 84 combinations of the joint modeling strategy, including training set with and without cross-validated committees filter (CVCF), five resampling techniques (random under-sampling (RUS), random over-sampling (ROS), adaptive synthetic sampling (ADASYN), Borderline synthetic minority oversampling technique (Borderline SMOTE), synthetic minority oversampling technique and edited nearest neighbor (SMOTEENN)) and no resampling, seven models (LR, RF, ANN, SVM, KNN, Stacking, AdaBoost). RESULTS: Among 4207 patients with ICH, 2909 (69.15%) survived 90 days after discharge, and 1298 (30.85%) died within 90 days after discharge. The performance of all models improved with removing outliers by CVCF except sensitivity. For data balancing processing, the performance of training set without resampling was better than that of training set with resampling in terms of accuracy, specificity, and precision. And the AUC of ROS was the best. For seven models, the average accuracy, specificity, AUC, and precision of RF were the highest. Stacking performed best in F1 score. Among all 84 combinations of joint modeling strategy, eight combinations performed best in terms of accuracy (0.816). For sensitivity, the best performance was SMOTEENN + Stacking (0.662). For specificity, the best performance was CVCF + KNN (0.987). Stacking and AdaBoost had the best performances in AUC (0.756) and F1 score (0.602), respectively. For precision, the best performance was CVCF + SVM (0.938). CONCLUSION: This study proposed a joint modeling strategy including outlier detection and removal, data balancing, model fitting and prediction, performance evaluation, in order to provide a reference for physicians and researchers who want to build their own models. This study illustrated the importance of outlier detection and removal for machine learning and showed that ensemble learning might be a good modeling strategy. Due to the low imbalanced ratio (IR, the ratio of majority class and minority class) in this study, we did not find any improvement in models with resampling in terms of accuracy, specificity, and precision, while ROS performed best on AUC.

Association of Hypernatremia with Immune Profiles and Clinical Outcomes in Adult Intensive Care Unit Patients with Sepsis.

Both hypernatremia and an abnormal immune response may increase hospital mortality in patients with sepsis. This study examined the association of hypernatremia with abnormal immune response and mortality in 520 adult patients with sepsis in an intensive care unit (ICU). We compared the mortality and ex vivo lipopolysaccharide (LPS)-induced inflammatory response differences among patients with hyponatremia, eunatremia, and hypernatremia, as well as between patients with acquired hypernatremia on ICU day 3 and those with sustained eunatremia over first three ICU days. Compared with eunatremia or hyponatremia, hypernatremia led to higher 7 day, 14 day, 28 day, and hospital mortality rates (p = 0.030, 0.009, 0.010, and 0.033, respectively). Compared with sustained eunatremia, acquired hypernatremia led to higher 7, 14, and 28 day mortality rates (p = 0.019, 0.042, and 0.028, respectively). The acquired hypernatremia group nonsignificantly trended toward increased hospital mortality (p = 0.056). Day 1 granulocyte colony-stimulating factor (G-CSF) and tumor necrosis factor (TNF) α levels were relatively low in patients with hypernatremia (p = 0.020 and 0.010, respectively) but relatively high in patients with acquired hypernatremia (p = 0.049 and 0.009, respectively). Thus, in ICU-admitted septic patients, hypernatremia on admission and in ICU-acquired hypernatremia were both associated with higher mortality. The higher mortality in patients with hypernatremia on admission was possibly related to the downregulation of G-CSF and TNF-α secretion after endotoxin stimulation. Compared to sustained eunatremia, acquired hypernatremia showed immunoparalysis at first and then hyperinflammation on day 3.

A new risk stratification strategy for fatty liver disease by incorporating MAFLD and fibrosis score in a large US population.

BACKGROUND: Metabolic dysfunction-associated fatty liver disease (MAFLD) is a newly proposed definition of fatty liver disease (FLD) independent of excessive alcohol consumption (EAC) and hepatitis viral infection. Evidence on the mortality risk in different types of FLD [nonalcoholic FLD (NAFLD), alcoholic FLD (AFLD), and MAFLD] is sparse, hindering the identification of high-risk populations for preferential clinical surveillance. METHODS: A total of 11,000 participants in the Third National Health and Nutrition Examination Survey were enrolled. Participants were categorized into three groups [FLD( - ), MAFLD( - ), and MAFLD( +)] according to FLD and MAFLD criteria, and further categorized into six groups by EAC. Multivariate Cox proportional hazard model was used to estimate the risk of all-cause, cardiovascular-related, and cancer-related mortality. RESULTS: During a median follow-up of 23.2 years, a total of 3240 deaths were identified. Compared with FLD( - )/EAC( - ) participants, MAFLD( +) individuals had higher all-cause mortality risk [hazard ratio (HR) = 1.28, 95% confidence interval (CI) = 1.18-1.39] regardless of EAC status [MAFLD( +)/NAFLD: HR = 1.22, 95%CI = 1.11-1.34; MAFLD( +)/AFLD: HR = 1.83, 95%CI = 1.46-2.28], while not for MAFLD( - ) individuals. Furthermore, diabetes-driven-MAFLD had higher mortality risk (HR = 2.00, 95%CI = 1.77-2.27) followed by metabolic dysregulation-driven-MAFLD (HR = 1.30, 95%CI = 1.06-1.60) and overweight/obesity-driven-MAFLD (HR = 1.11, 95%CI = 1.00-1.22). Additionally, MAFLD( - ) participants with elevated fibrosis score were also associated with statistically significantly higher mortality risk (HR = 3.23, 95%CI = 1.63-6.40). CONCLUSIONS: Utilizing a representative sample of the US population, we proved the validity of MAFLD subtype and fibrosis score, rather than the traditional definition (NAFLD and AFLD), in the risk stratification of FLD patients. These findings may be applied to guide the determination of surveillance options for FLD patients.

Predicting Development Of Critical Illness In Patients With Covid-19 Presenting To A Tertiary Care Hospital In A Developing Country.

BACKGROUND: With the increasing number of COVID-19 patients and limited resources available to accommodate them, there is a need for risk stratification tools to ensure better utilization of resources. METHODS: We conducted a retrospective observational cohort study in patients discharged from the COVID designated areas of a large tertiary care hospital in Karachi, Pakistan from the 1st of May to the 31st of July, 2020. 581 patients were included and the COVID GRAM score was calculated at the time of admission and patients developing critical disease as per COVID GRAM study criteria (need of intensive care unit admission, invasive ventilation or death) after 24 hours of admission were noted. RESULTS: The mean age of the study population was 56.3±14.8 years. Patients that developed critical illness (as per COVID GRAM study criteria) beyond 24 hours after admission had higher COVID GRAM scores at admission versus those that did not (183.2±80.7 versus 130.3±42.6). The Area under the Receiver Operator Curve for the COVID gram score to predict critical illness in the study population was 0.802 (95% confidence interval, 0.753-0.850). On binary logistic multivariable regression analysis, the COVID GRAM and SOFA scores on admission and need of ICU admission during hospitalization were significant predictors of mortality 24 hours after admission. CONCLUSIONS: The COVID GRAM score is a useful risk assessment tool and can be used for appropriate allocation and prioritization of resources where they are most needed.

Comparison of clinical profile and outcome of de novo convulsive status epilepticus with those with a past history of epilepsy in the elderly populace.

AIM: To compare the clinical characteristics and etiological differences between de novo convulsive status epilepticus (CSE) with those with a past history of epilepsy in the elderly populace and the predictors of in-hospital mortality. METHODS: One hundred twenty-two elderly (≥60 years of age) hospitalized patients with CSE were evaluated for clinical profile, etiologies and predictors of in-hospital mortality. RESULTS: The mean age of the study population was 67.2±7.7 years. Among them, 77 (63.1%) cases were of de novo CSE and 45 (36.9%) cases had a past history of epilepsy. Most common etiologies in de novo CSE were acute symptomatic in 68.8%, followed by remote symptomatic in 24.7% of cases. Inhospital mortality in de novo CSE was 38.9 % and on multivariate analysis, it was found variables significantly related to mortality in CSE were the presence of comorbidities (odds ratio (OR) = 0.229, 95% confidence interval (CI) = 0.059- 0.897; p=0.03) low Glasgow Coma Scale (GCS) (OR =0.045 , 95% CI =0.013- 0.160 ; p= 0.01) and de novo CSE ( OR= 0.093, 95% CI = 0.017- 0.503 ;p= 0.01 ). CONCLUSIONS: De novo CSE in the elderly was associated with poorer outcomes in comparison to those with a past history of epilepsy. In-hospital mortality in CSE was related to the presence of comorbidities, low GCS and de novo CSE. Prompt and aggressive management of de novo CSE is the most effective way of preventing in-hospital mortality in the elderly.

Differential mortality with COVID-19 and invasive mechanical ventilation between high-income and low-and middle-income countries: a systematic review, meta-analysis, and meta-regression.

The COVID-19 pandemic has markedly affected the health care of patients in low- and middle-income countries (LMICs), but no systematic study to corroborate this effect has been undertaken. In addition, the survival outcomes of patients with COVID-19 who received invasive mechanical ventilation (IMV) have not been well established. We pooled evidence from all available studies and did a systematic review and meta-analysis to assess and compare mortality outcomes between LMICs and high-income countries (HICs). We searched MEDLINE and the University of Michigan Library according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines from December 1, 2019, to July 15, 2021, for case-control studies, cohort studies, and brief reports that discussed mortality ratios and survival outcomes among patients with SARS-CoV-2 who received IMV. We excluded studies and case reports without comparison groups, narrative reviews, and preprints. A random-effects estimate of the arcsine square root transformation (PAS) of each outcome was generated with the DerSimonian-Laird method. Seven eligible studies, consisting of 243,835 patients with COVID-19, were included. We identified a significantly higher mortality rate (i.e., a larger PAS) among the patients receiving IMV in LMICs (PAS, 0.754; 95% CI, 0.569-0.900; P<.001) compared to patients in HICs (PAS, 0.588; 95% CI, 0.263-0.876; P<.001). Considerable heterogeneity was present within the individual subgroups possibly because of the extent of the included studies, which had data from specific countries and states but not from individual hospitals or health care centers. Moreover, the sample population in each study was diverse. Meta-regression showed that a higher mortality rate among patients with COVID-19 who received IMV in both HICs (P<.001) and LMICs (P=.04) was associated with chronic pulmonary disease. Our study suggests that chronic pulmonary diseases and poor demographics lead to a worse prognosis among patients with COVID-19 who received IMV. Moreover, the survival outcome is worse in LMICs, where health care systems are usually understaffed and poorly financed.

Corona Virus Disease-19 Clinical And Laboratory Characteristics Associated With Disease Severity In Patients Presenting At A Tertiary Care Hospital Of Peshawar.

BACKGROUND: Coronavirus disease-19 has a wide range of clinical presentations and varied outcomes. It is a new disease and researchers are trying to explore its clinical presentation and outcome to know more about the course of the disease. The objective of the present study was to determine the clinical and laboratory characteristics of Coronavirus disease-19 associated with severity of the disease. METHODS: This cross-sectional study was conducted at Rehman Medical Institute, Peshawar from April to August 2020. All patients presented to the hospital and were diagnosed as COVID-19 were enrolled in this study. Disease characteristics and clinical outcomes were noted in both mild and severe cases. Patients were divided into 2 groups based on the disease severity and a comparison was made between these groups in terms of demographics, lab parameters and outcomes. Data were analysed by using SPSS version 24. RESULTS: Out of 227 patients, 80.2% (n=182) were males while 19.8% (n=45) were females. The mean age of the patients was 54.44±14.35 yrs. 61.2% (n=139) had co-morbidities with diabetes being the most common. 26.9% (n=61) had severe disease and 18.1% (n=41) died.20.7% (n=47) had lymphopenia, 48.45% (n=110) had leucocytosis and thrombocytopenia was seen in 11.89% (n=27). CRP, D-dimers, ferritin and LDH were raised in 83.25% (n=189), 80.17% (n=182), 81.05% (n=184), 77.09% (n=175) of the patients respectively. Comparing our designated patient groups revealed that old age, comorbidities, leucocytosis, lymphopenia, raised inflammatory markers were associated with severe disease and that mortality was high in the severe disease group. CONCLUSION: Middle-aged males with comorbidities were the most affected subset of patients. Disease severity was associated with old age, comorbidities and certain lab abnormalities. The outcome was poor in case of severe disease. However, no gender correlation was found with disease severity.

Comparison of standard prophylactic and preemptive therapeutic low molecular weight heparin treatments in hospitalized patients with COVID-19.

NTRODUCTION: Anticoagulant treatment approach in patients with COVID-19 is not well studied and not standardized. We aimed to compare the effects of standard prophylactic and pre-emptive therapeutic Low-Molecular-weight Heparin (LMWH) treatment approaches on mortality in patients with COVID-19. PATIENTS AND METHODS: This retrospective and single-centre study includes patients aged ≥ 18 years, who were diagnosed with COVID-19 and treated with LMWH during the hospital stay. Therapeutic dose of LMWH was defined as 1 mg/kg subcutaneously twice daily and prophylactic dose of LMWH was defined as 40 mg subcutaneously once daily. RESULTS: Among the 336 patients diagnosed with COVID-19 pneumonia, 115 patients, who received LMWH were included in the study. The mean age was 58.6 ± 13.3 and 58 (50.4 %) of the patients were male. Sixty-nine (60 %) of the patients were treated with prophylactic and 46 (40 %) therapeutic LMWH.In-hospital mortality was not different between patients treated therapeutic LMWH and prophylactic LMWH by the multivariate regression analysis (OR=2.187, 95% CI 0.484-9.880, p=0.309) and the propensity score modelling (OR=1.586, 95% CI 0.400-6.289, p=0.512.)CONCLUSION: Clinicians should consider the potential risks and benefits of standard prophylactic and pre-emptive therapeutic LMWH. Therefore, anticoagulant therapy should be individualized in patients with COVID-19 (Tab. 3, Ref. 28).

Lung Injury Is a Predictor of Cerebral Hypoxia and Mortality in Traumatic Brain Injury.

Background: A major contributor to unfavorable outcome after traumatic brain injury (TBI) is secondary brain injury. Low brain tissue oxygen tension (PbtO2) has shown to be an independent predictor of unfavorable outcome. Although PbtO2 provides clinicians with an understanding of the ischemic and non-ischemic derangements of brain physiology, its value does not take into consideration systemic oxygenation that can influence patients' outcomes. This study analyses brain and systemic oxygenation and a number of related indices in TBI patients: PbtO2, partial arterial oxygenation pressure (PaO2), PbtO2/PaO2, ratio of PbtO2 to fraction of inspired oxygen (FiO2), and PaO2/FiO2. The primary aim of this study was to identify independent risk factors for cerebral hypoxia. Secondary goal was to determine whether any of these indices are predictors of mortality outcome in TBI patients. Materials and Methods: A single-centre retrospective cohort study of 70 TBI patients admitted to the Neurocritical Care Unit (NCCU) at Cambridge University Hospital in 2014-2018 and undergoing advanced neuromonitoring including invasive PbtO2 was conducted. Three hundred and three simultaneous measurements of PbtO2, PaO2, PbtO2/PaO2, PbtO2/FiO2, PaO2/FiO2 were collected and mortality at discharge from NCCU was considered as outcome. Generalized estimating equations were used to analyse the longitudinal data. Results: Our results showed PbtO2 of 28 mmHg as threshold to define cerebral hypoxia. PaO2/FiO2 found to be a strong and independent risk factor for cerebral hypoxia when adjusting for confounding factor of intracranial pressure (ICP) with adjusted odds ratio of 1.78, 95% confidence interval of (1.10-2.87) and p-value = 0.019. With respect to TBI outcome, compromised values of PbtO2, PbtO2/PaO2, PbtO2/FiO2, and PaO2/FiO2 were all independent predictors of mortality while considered individually and adjusting for confounding factors of ICP, age, gender, and cerebral perfusion pressure (CPP). However, when considering all the compromised values together, only PaO2/FiO2 became an independent predictor of mortality with adjusted odds ratio of 3.47 (1.20-10.04) and p-value = 0.022. Conclusions: Brain and Lung interaction in TBI patients is a complex interrelationship. PaO2/FiO2 seems to be a major determinant of cerebral hypoxia and mortality. These results confirm the importance of employing ventilator strategies to prevent cerebral hypoxia and improve the outcome in TBI patients.

Mortality prediction and long-term outcomes for civilian cerebral gunshot wounds: A decision-tree algorithm based on a single trauma center.

Gunshot wounds (GSW) are one of the most lethal forms of head trauma. The lack of clear guidelines for civilian GSW complicates surgical management. We aimed to develop a decision-tree algorithm for mortality prediction and report long-term outcomes on survivors based on 15-year data from our level 1 trauma center. We retrospectively reviewed 96 consecutive patients who presented with cerebral GSWs between 2003 and 2018. Clinical information from our trauma database, EMR, and relevant imaging scans was reviewed. A decision-tree model was constructed based on variables showing significant differences between survivors and non-survivors. After excluding patients who died at arrival, 54 patients with radiologically confirmed intracranial injury were included. Compared to survivors (51.9%), non-survivors (48.1%) were significantly more likely to have perforating (entry and exit wound), as opposed to penetrating (entry wound only), injuries. Bi-hemispheric and posterior fossa involvement, cerebral herniation, and intraventricular hemorrhage were more commonly present in non-survivors. Based on the decision-tree, Glasgow Coma Scale (GCS) > 8 and penetrating, uni-hemispheric injury predicted survival. Among patients with GCS ≤ 8 and normal pupillary response, lack of 1) posterior fossa involvement, 2) cerebral herniation, 3) bi-hemispheric injury, and 4) intraventricular hemorrhage, were associated with survival. Favorable long-term outcomes (mean follow-up 34.4 months) were possible for survivors who required neurosurgery and stable patients who were conservatively managed. We applied clinical and radiological characteristics that predicted survival to construct a decision-tree to facilitate surgical decision-making for GSW. Further validation of the algorithm in a large patient setting is recommended.

Prognostic Value of NT-proBNP After Ischemic Stroke: A Systematic Review and Meta-analysis of Prospective Cohort Studies.

BACKGROUND: Many studies have evaluated the relationship between N-terminal pro-brain natriuretic peptide (NT-proBNP) and its prognostic value in ischemic stroke. However, a widespread consensus has not been reached. Therefore, we completed a meta-analysis to evaluate the prognostic significance of NT-proBNP for mortality and functional outcome in patients with ischemic stroke. METHODS: We performed a systematic search and review using the PubMed and EMBASE databases to identify literature that reported a correlation between NT-proBNP and mortality and functional outcome in ischemic stroke patients. RESULTS: Eleven studies inclusive of 10,498 patients met the inclusion criteria. Elevated plasma NT-proBNP levels were associated with increased risk of mortality in ischemic stroke patients (all-cause mortality: odds ratio [OR] = 2.43, 95% confidence interval [CI] 1.62-3.64, P < .001, I2=74.3%; cardiovascular mortality: OR = 2.01, 95% CI 1.55-2.61, P < .001, I2 = 42.6%). In addition, unfavorable functional outcomes were observed in patients with higher levels of NT-proBNP (OR = 1.68, 95% CI 1.13-2.50, P = .01, I2 = 90.8%) after ischemic stroke. CONCLUSIONS: This meta-analysis demonstrates that NT-proBNP could be a predictor of mortality and functional outcome in ischemic stroke patients.

The Association of Early Electrocardiographic Abnormalities With Brain Injury Severity and Outcome in Severe Traumatic Brain Injury.

The aim of this study was to evaluate the frequency of electrocardiographic (ECG) abnormalities in the acute phase of severe traumatic brain injury (TBI) and the association with brain injury severity and outcome. In contrast to neurovascular diseases, sparse information is available on this issue. Data of adult patients with severe TBI admitted to the Intensive Care Unit (ICU) for intracranial pressure monitoring of a level-1 trauma center from 2002 till 2018 were analyzed. Patients with a cardiac history were excluded. An ECG recording was obtained within 24 h after ICU admission. Admission brain computerized tomography (CT)-scans were categorized by Marshall-criteria (diffuse vs. mass lesions) and for location of traumatic lesions. CT-characteristics and maximum Therapy Intensity Level (TILmax) were used as indicators for brain injury severity. We analyzed data of 198 patients, mean (SD) age of 40 ± 19 years, median GCS score 3 [interquartile range (IQR) 3-6], and 105 patients (53%) had thoracic injury. In-hospital mortality was 30%, with sudden death by cardiac arrest in four patients. The incidence of ECG abnormalities was 88% comprising ventricular repolarization disorders (57%) mostly with ST-segment abnormalities, conduction disorders (45%) mostly with QTc-prolongation, and arrhythmias (38%) mostly of supraventricular origin. More cardiac arrhythmias were observed with increased grading of diffuse brain injury (p = 0.042) or in patients treated with hyperosmolar therapy (TILmax) (65%, p = 0.022). No association was found between ECG abnormalities and location of brain lesions nor with thoracic injury. Multivariate analysis with baseline outcome predictors showed that cardiac arrhythmias were not independently associated with in-hospital mortality (p = 0.097). Only hypotension (p = 0.029) and diffuse brain injury (p = 0.017) were associated with in-hospital mortality. In conclusion, a high incidence of ECG abnormalities was observed in patients with severe TBI in the acute phase after injury. No association between ECG abnormalities and location of brain lesions or presence of thoracic injury was present. Cardiac arrhythmias were indicative for brain injury severity but not independently associated with in-hospital mortality. Therefore, our findings likely suggest that ECG abnormalities should be considered as cardiac mimicry representing the secondary effect of traumatic brain injury allowing for a more rationale use of neuroprotective measures.

External validation of STESS and EMSE as outcome prediction scores in an Egyptian cohort with status epilepticus.

PURPOSE: There is a lack of data concerning the performance of the outcome prediction scores in patients with status epilepticus (SE) in developing countries. The aim of this study was to compare the predictive performances of the status epilepticus severity score (STESS) and the epidemiology-based mortality score in status epilepticus (EMSE) and adaptation of such scoring system to be compatible with the nature of society. METHOD: This is a prospective study, conducted in Egypt from the period of January 2017 to June 2018. The main outcome measure was survival versus death, on hospital discharge. The cutoff point with the best sensitivity and specificity to predict mortality was determined through a receiver operating characteristic (ROC) curve. RESULTS: Among the 144 patients with SE with a mean age of 39.3 ±â€¯19.5 years recruited into the study, 38 patients (26.3%) died in the hospital with the survival of 99 patients while 7 patients (4.9%) were referred to other centers with an unknown outcome. Although EMSE had a bit larger area under the curve (AUC) (0.846) than STESS-3 (AUC 0.824), STESS-3 had the best performance as in-hospital death prediction score as it has a higher negative predictive value (94.6%) than that of EMSE (90.9%) in order not to miss high-risk patients. CONCLUSION: In the Egyptian population, STESS and EMSE are useful tools in predicting mortality outcome of SE. The STESS performed significantly better than EMSEE combinations as a mortality prediction score.

Emergency laparotomy research methodology: A systematic review.

BACKGROUND: Emergency abdominal surgery is associated with poorer clinical outcomes than similar procedures in the elective setting. Research into emergency laparotomy (EL) care is moving from observational studies which simply measure EL outcomes to interventional research evaluating the implementation of care strategies designed to improve the quality and outcomes from EL care. There is no consensus as to the optimal approach to conducting research in this sphere. The primary objective of this review was to examine how mortality and other outcome measures were reported in previous EL research and to identify what might be the most appropriate methods in future outcome research. METHODS: A systematic review was performed in accordance with the PRISMA principles. Electronic databases were interrogated with a pre-specified search strategy to identify English language studies addressing outcomes from EL care. Retrieved papers were screened and assessed according to pre-defined eligibility criteria. The mortality and other outcomes reported in each paper were extracted and examined. RESULTS: 16 studies were included. They demonstrated significant heterogeneity in case definition, outcome reporting and data processing. A wide range of mortality and other outcome measures were applied and reported. Only few studies included on patient-reported outcomes measures. CONCLUSION: The heterogeneity in EL research, demonstrated by this review must be considered when EL outcomes are compared. A standardized approach with respect to case definition, outcome measurement, and data analysis would provide for more valid and comparable evaluation of EL outcomes. Future EL research should include more patient centred outcomes.