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1.
Mymensingh Med J ; 33(4): 1230-1237, 2024 Oct.
Artigo em Inglês | MEDLINE | ID: mdl-39351747

RESUMO

Traumatic brain injury (TBI) is a leading cause of death and disability globally as well as in Bangladesh; its incidences are growing with an increasing number of high-speed motor vehicles, more movement of the public and mechanization in industry. The aim of the study was to analyze the causes, risk factors and treatment outcomes of traumatic brain injuries in victims reported to emergency and casualty departments following intensive care with or without surgical intervention in a tertiary care hospital. This prospective type of observational study was conducted at the Neurosurgery ward of Rangpur Medical College Hospital, Bangladesh from March 2022 to February 2024. A total of 360 head injury patients with TBI were assessed with gender, age, cause, and type of trauma, Glasgow Coma Scale on admission, associated other injuries, time lapsed from trauma to hospitalization and care given. A total of 360 Cases (n=360) of TBI, male 273(n=273) and female 87(n=87) were included most common group was 16-30 years (45%) and Males (75.83%) victims were more than female (24.16%). Frequency percentage cause is RTA 190(52.7%) and intra-cranial injury (42.77%), Intra and extra-cranial injury 206(57.22%), pathophysiological cause (n=360), SDH 122(33.88%), EDH (28.33%), concussion (15.83%), cerebral contusion (14.16%), diffuse axonal injury (05%) and subarachnoid haemorrhage (2.77%). Traumatic brain injury was common among young adult males and RTA was the leading cause. Many factors influence the better outcome of TBI with reduced mortality and morbidity including the patient's age, the injury's severity, the time between TBI and the start of definitive treatment associated with other major injuries and facilities available for resuscitative care.


Assuntos
Lesões Encefálicas Traumáticas , Centros de Atenção Terciária , Humanos , Lesões Encefálicas Traumáticas/terapia , Lesões Encefálicas Traumáticas/epidemiologia , Lesões Encefálicas Traumáticas/mortalidade , Feminino , Masculino , Bangladesh/epidemiologia , Adulto , Adolescente , Centros de Atenção Terciária/estatística & dados numéricos , Estudos Prospectivos , Pessoa de Meia-Idade , Adulto Jovem , Criança , Pré-Escolar , Escala de Coma de Glasgow , Lactente , Idoso , Fatores de Risco
2.
BMC Neurol ; 24(1): 370, 2024 Oct 04.
Artigo em Inglês | MEDLINE | ID: mdl-39367316

RESUMO

BACKGROUND: Globally, 64-74 million individuals around the world are estimated to sustain traumatic brain injury every year. Moderate and severe traumatic brain injury can lead to a lifetime physical, cognitive, emotional, and behavioral changes. There were limited studies conducted in Ethiopia regarding to traumatic brain injury mortality. METHODS: An institutional based retrospective cohort study was conducted on 429 randomly selected traumatic brain injury patients aged 18 to 64 years who were admitted to East Amhara Comprehensive Specialized Hospitals from January 1, 2016 to December 31, 2021. Kobo toolbox was applied for data collection and exported to Stata version 17 for data processing and analysis. To estimate death free time, a Kaplan Meier failure curve was used. The Cox proportional hazards regression model was used at the 5% level of significance to determine effect of predictor variables on time to death. RESULT: A total of 429 traumatic brain injury patients aged 18 to 64 years were included with response rate of 91.3% and 145(33.8%) were dead. Open injuries (AHR = 0.25; 95% CI: 0.18-0.36), co-existing injuries (AHR = 0.40; 95% CI: 0.24-0.66), ICU admission (AHR = 0.42; 95% CI: 0.29-0.60), arrival within 4-24 h (AHR = 3.48; 95% CI: 2.01-6.03), arrival after 24 h (AHR = 6.69; 95% CI: 3.49-12.28), subdural hematoma (AHR = 2.72; 95% CI: 1.77-4.19), serum albumin < 3.5 g/dL (AHR = 0.66; 95% CI: 0.49-0.94), moderate (AHR = 0.56; 95% CI: 0.21-0.89), and mild traumatic brain injury (AHR = 0.43; 95% CI: 0.29-0.56) were predictors of traumatic brain injury mortality. CONCLUSION: The finding of this study showed that the mortality was 1/3rd of the total patients. Open injuries, co-existing injuries, ICU admission, arrival time (4-24 h and > 24 h), subdural hematoma, serum albumin < 3.5 g/dL and severity of traumatic brain injury (mild and moderate) were predictors of traumatic brain mortality. Therefore, working on these factors to reduce the morality of traumatic brain injury patients is very important.


Assuntos
Lesões Encefálicas Traumáticas , Humanos , Lesões Encefálicas Traumáticas/mortalidade , Lesões Encefálicas Traumáticas/epidemiologia , Etiópia/epidemiologia , Adulto , Pessoa de Meia-Idade , Estudos Retrospectivos , Feminino , Masculino , Adulto Jovem , Adolescente , Hospitais Especializados/estatística & dados numéricos , Estudos de Coortes , Fatores de Tempo
3.
Sci Rep ; 14(1): 23791, 2024 10 11.
Artigo em Inglês | MEDLINE | ID: mdl-39394380

RESUMO

Patients with traumatic brain injury (TBI) frequently exhibit concomitant immunosuppression. In this study, we evaluated the predictive values of soluble programmed death-1 (sPD-1) and soluble programmed death ligand-1 (sPD-L1) in patients with severe TBI. Peripheral blood sPD-1 and sPD-L1 levels were measured within 48 h of patient admission. A total of 20 healthy volunteers and 82 patients were enrolled in this study. The levels of sPD-1 and sPD-L1 were upregulated in patients with severe TBI (P < 0.001). They were significantly increased in the post-TBI severe pneumonia group and among non-survivors (P < 0.001). The area under the curves (AUCs) for sPD-1 and sPD-L1 levels to predict severe pneumonia were 0.714 and 0.696, respectively, and the AUCs to predict mortality were 0.758 and 0.735. The levels of sPD-1 and sPD-L1 are correlated with the GCS scores at admission, APACHE II scores, length of MV, and time elapsed to mortality. The levels of sPD-1 and sPD-L1 emerged as independent predictive factors for severe pneumonia and mortality. This study demonstrates that upregulation of sPD-1 and sPD-L1 in severe TBI patients is significantly associated with severe pneumonia and mortality, suggesting their potential as predictive biomarkers for these outcomes.


Assuntos
Antígeno B7-H1 , Biomarcadores , Lesões Encefálicas Traumáticas , Receptor de Morte Celular Programada 1 , Humanos , Lesões Encefálicas Traumáticas/sangue , Lesões Encefálicas Traumáticas/mortalidade , Lesões Encefálicas Traumáticas/diagnóstico , Masculino , Feminino , Pessoa de Meia-Idade , Prognóstico , Adulto , Antígeno B7-H1/sangue , Antígeno B7-H1/metabolismo , Receptor de Morte Celular Programada 1/sangue , Receptor de Morte Celular Programada 1/metabolismo , Biomarcadores/sangue , Idoso , Pneumonia/sangue
4.
PeerJ ; 12: e18086, 2024.
Artigo em Inglês | MEDLINE | ID: mdl-39399425

RESUMO

Background: Although the optimization of brain oxygenation is thought to improve the prognosis, the effect of brain tissue oxygen pressure (PbtO2) for patients with severe traumatic brain injury (STBI) remains controversial. Therefore, the present study aimed to determine whether adding PbtO2 to intracranial pressure (ICP) monitoring improves clinical outcomes for patients with STBI. Methods: PubMed, Embase, Scopus and Cochrane Library were searched for eligible trials from their respective inception through April 10th, 2024. We included clinical trials contrasting the combined monitoring of PbtO2 and ICP versus isolated ICP monitoring among patients with STBI. The primary outcome was favorable neurological outcome at 6 months, and secondary outcomes including the in-hospital mortality, long-term mortality, length of stay in intensive care unit (ICU) and hospital. Results: A total of 16 studies (four randomized studies and 12 cohort studies) were included in the meta-analysis. Compared with isolated ICP monitoring, the combined monitoring was associated with a higher favorable neurological outcome rate at 6 months (RR 1.33, 95% CI [1.17-1.51], P < 0.0001, I2 = 0%), reduced long-term mortality (RR 0.72, 95% CI [0.59-0.87], P = 0.0008, I2 = 2%). No significant difference was identified in the in-hospital mortality (RR 0.81, 95% CI 0.66 to 1.01, P = 0.06, I2 = 32%), length of stay in ICU (MD 2.10, 95% CI [-0.37-4.56], P = 0.10, I2 = 78%) and hospital (MD 1.07, 95% CI [-2.54-4.67], P = 0.56, I2 = 49%) between two groups. However, the pooled results of randomized studies did not show beneficial effect of combined monitoring in favorable neurological outcome and long-term mortality. Conclusions: Currently, there is limited evidence to prove that the combined PbtO2 and ICP monitoring may contribute to improved neurological outcome and long-term mortality for patients with STBI. However, the benefit of combined monitoring should be further validated in more randomized studies.


Assuntos
Lesões Encefálicas Traumáticas , Pressão Intracraniana , Humanos , Lesões Encefálicas Traumáticas/mortalidade , Lesões Encefálicas Traumáticas/terapia , Lesões Encefálicas Traumáticas/fisiopatologia , Lesões Encefálicas Traumáticas/diagnóstico , Pressão Intracraniana/fisiologia , Monitorização Fisiológica/métodos , Oxigênio/metabolismo , Mortalidade Hospitalar , Encéfalo/metabolismo , Encéfalo/fisiopatologia , Tempo de Internação
5.
Int J Mol Sci ; 25(17)2024 Sep 02.
Artigo em Inglês | MEDLINE | ID: mdl-39273487

RESUMO

Traumatic brain injury (TBI) is the leading cause of traumatic death worldwide and is a public health problem associated with high mortality and morbidity rates, with a significant socioeconomic burden. The diagnosis of brain injury may be difficult in some cases or may leave diagnostic doubts, especially in mild trauma with insignificant pathological brain changes or in cases where instrumental tests are negative. Therefore, in recent years, an important area of research has been directed towards the study of new biomarkers, such as micro-RNAs (miRNAs), which can assist clinicians in the diagnosis, staging, and prognostic evaluation of TBI, as well as forensic pathologists in the assessment of TBI and in the estimation of additional relevant data, such as survival time. The aim of this study is to investigate the expression profiles (down- and upregulation) of a panel of miRNAs in subjects deceased with TBI in order to assess, verify, and define the role played by non-coding RNA molecules in the different pathophysiological mechanisms of brain damage. This study also aims to correlate the detected expression profiles with survival time, defined as the time elapsed between the traumatic event and death, and with the severity of the trauma. This study was conducted on 40 cases of subjects deceased with TBI (study group) and 10 cases of subjects deceased suddenly from non-traumatic causes (control group). The study group was stratified according to the survival time and the severity of the trauma. The selection of miRNAs to be examined was based on a thorough literature review. Analyses were performed on formalin-fixed, paraffin-embedded (FFPE) brain tissue samples, with a first step of total RNA extraction and a second step of quantification of the selected miRNAs of interest. This study showed higher expression levels in cases compared to controls for miR-16, miR-21, miR-130a, and miR-155. In contrast, lower expression levels were found in cases compared to controls for miR-23a-3p. There were no statistically significant differences in the expression levels between cases and controls for miR-19a. In cases with short survival, the expression levels of miR-16-5p and miR-21-5p were significantly higher. In cases with long survival, miR-21-5p was significantly lower. The expression levels of miR-130a were significantly higher in TBI cases with short and middle survival. In relation to TBI severity, miR-16-5p and miR-21-5p expression levels were significantly higher in the critical-fatal TBI subgroup. Conclusions: This study provides evidence for the potential of the investigated miRNAs as predictive biomarkers to discriminate between TBI cases and controls. These miRNAs could improve the postmortem diagnosis of TBI and also offer the possibility to define the survival time and the severity of the trauma. The analysis of miRNAs could become a key tool in forensic investigations, providing more precise and detailed information on the nature and extent of TBI and helping to define the circumstances of death.


Assuntos
Lesões Encefálicas Traumáticas , MicroRNAs , Humanos , Lesões Encefálicas Traumáticas/genética , Lesões Encefálicas Traumáticas/mortalidade , Lesões Encefálicas Traumáticas/metabolismo , Lesões Encefálicas Traumáticas/patologia , Lesões Encefálicas Traumáticas/diagnóstico , MicroRNAs/genética , Masculino , Feminino , Pessoa de Meia-Idade , Adulto , Perfilação da Expressão Gênica , Biomarcadores , Idoso , Prognóstico , Transcriptoma
7.
Crit Care Explor ; 6(10): e1160, 2024 Oct 01.
Artigo em Inglês | MEDLINE | ID: mdl-39324956

RESUMO

OBJECTIVES: We sought to evaluate the effectiveness of any antiseizure medication on the incidence of early post-traumatic seizures among adult patients with traumatic brain injury. DATA SOURCES: MEDLINE, Embase, PubMed, Cochrane Central Register of Controlled Trials, and LILACS were searched from inception to October 2023. STUDY SELECTION: We included randomized trials of adult patients with traumatic brain injury evaluating any antiseizure medication compared with either placebo or another agent. DATA EXTRACTION: Two reviewers independently extracted individual study data and evaluated studies for risk of bias using the Cochrane Risk of Bias tool. Our main outcome of interest was the occurrence of early seizures (i.e., within 7 d); secondary outcomes included late-seizures and all-cause mortality. DATA SYNTHESIS: Bayesian network meta-analyses were used to derive risk ratios (RRs) alongside 95% credible intervals (CrIs). We used Grading of Recommendations Assessment, Development, and Evaluation methodology to rate the certainty in our findings. Overall, ten individual randomized controlled trials (1851 participants) were included. Compared with placebo, phenytoin (RR, 0.28; 95% CrI, 0.13-0.57; moderate certainty) and levetiracetam (RR, 0.20; 95% CrI, 0.07-0.60; moderate certainty) were associated with a reduction in the risk of early seizures. Carbamazepine may be associated with a reduced risk of early seizures, but the evidence is very uncertain (RR, 0.41; 95% CrI, 0.12-1.27; very low certainty). Valproic acid may result in little to no difference in the risk of early seizures, but the evidence is very uncertain (RR, 0.97; 95% CrI, 0.16-9.00; very low certainty). The evidence is very uncertain about the impact of any antiseizure medication on the risk of late seizures or all-cause mortality at longest reported follow-up time. CONCLUSIONS: Phenytoin or levetiracetam reduce the risk of early seizures among adult patients with traumatic brain injury. Further research is needed to evaluate required duration of therapy and long-term safety profiles.


Assuntos
Anticonvulsivantes , Teorema de Bayes , Lesões Encefálicas Traumáticas , Metanálise em Rede , Convulsões , Humanos , Lesões Encefálicas Traumáticas/tratamento farmacológico , Lesões Encefálicas Traumáticas/mortalidade , Lesões Encefálicas Traumáticas/complicações , Anticonvulsivantes/uso terapêutico , Convulsões/tratamento farmacológico , Adulto , Levetiracetam/uso terapêutico , Fenitoína/uso terapêutico , Ensaios Clínicos Controlados Aleatórios como Assunto
8.
J Child Neurol ; 39(7-8): 275-284, 2024 Jun.
Artigo em Inglês | MEDLINE | ID: mdl-39246040

RESUMO

INTRODUCTION: Studies suggest disparities in outcomes in minoritized children after severe traumatic brain injury. We aimed to evaluate for disparities in intracranial pressure-directed therapies and outcomes after pediatric severe traumatic brain injury. METHODS: We conducted a secondary analysis of the Approaches and Decisions for Acute Pediatric TBI (ADAPT) Trial, which enrolled pediatric severe traumatic brain injury patients (Glasgow Coma Scale score ≤8) with an intracranial pressure monitor from 2014 to 2018. Patients admitted outside of the United States were excluded. Patients were categorized by race and ethnicity (Hispanic, non-Hispanic Black, non-Hispanic White, and "Other"). We evaluated outcomes by assessing mortality and 3-month Glasgow Outcome Score-Extended for Pediatrics. Our analysis involved parametric and nonparametric testing. MAIN RESULTS: A total of 671 children were analyzed. Significant associations included older age in non-Hispanic White patients (P < .001), more surgical evacuations in "Other" (P < .001), and differences in discharge location (P = .040). The "other" cohort received hyperventilation less frequently (P = .046), although clinical status during Paco2 measurement was not known. There were no other significant differences in intracranial pressure-directed therapies. Hispanic ethnicity was associated with lower mortality (P = .004) but did not differ in unfavorable outcome (P = .810). Glasgow Outcome Score-Extended for Pediatrics was less likely to be collected for non-Hispanic Black patients (69%; P = .011). CONCLUSIONS: Our analysis suggests a general lack of disparities in intracranial pressure-directed therapies and outcomes in children after severe traumatic brain injury. Lower mortality in Hispanic patients without a concurrent decrease in unfavorable outcomes, and lower availability of Glasgow Outcome Score-Extended for Pediatrics score for non-Hispanic Black patients merit further investigation.


Assuntos
Lesões Encefálicas Traumáticas , Disparidades em Assistência à Saúde , Pressão Intracraniana , Adolescente , Criança , Pré-Escolar , Feminino , Humanos , Lactente , Masculino , Negro ou Afro-Americano , Lesões Encefálicas Traumáticas/terapia , Lesões Encefálicas Traumáticas/etnologia , Lesões Encefálicas Traumáticas/mortalidade , Etnicidade , Escala de Resultado de Glasgow , Disparidades em Assistência à Saúde/etnologia , Disparidades em Assistência à Saúde/estatística & dados numéricos , Hispânico ou Latino , Pressão Intracraniana/fisiologia , Resultado do Tratamento , Brancos , Grupos Raciais
9.
Neurology ; 103(8): e209904, 2024 Oct 22.
Artigo em Inglês | MEDLINE | ID: mdl-39284113

RESUMO

BACKGROUND AND OBJECTIVES: Administrative data are invaluable for assessing outcomes at the population level. However, there are few validated patient-centered outcome measures that capture morbidity following traumatic brain injury (TBI) using these data. We sought to characterize and validate days at home (DAH) as a measure to quantify population-level outcomes after moderate to severe TBI. We additionally assessed the earliest feasible outcome assessment period for patients with TBI using this outcome measure. METHODS: This multicenter retrospective cohort study used linked health administrative data sources to identify adults with moderate to severe TBI presenting to trauma centers in Ontario, Canada, between 2009 and 2021. DAH at 180 days (DAH180 days) reflects the total number of days spent alive and at home excluding the days spent institutionalized across care settings. Construct validity was determined using hierarchical quantile regression to assess the associations between clinical and injury covariates with DAH180 days. Predictive validity was assessed using Spearman rank correlation. We estimated minimally important difference (MID) in DAH180 days to aid with outcome measure interpretability. RESULTS: There were 6,340 patients who met inclusion criteria. Median DAH180 days was 70 days (interquartile range 0-144). Mortality occurred in 2,162 (34.1%) patients within 90 days following injury. Patients in the lower DAH180 days group were more commonly older (absolute standardized difference [ASD] = 0.68) with higher preinjury health resource utilization (ASD = 0.36) and greater injury severity (ASD = 0.81). Increased baseline health resource utilization (-10.1 days, 95% CI -17.4 to -2.8, p = 0.0041), older age (-4.6 days, 95% CI -5.7 to -3.4, p < 0.001), higher cranial injury severity (-84.6 days, 95% CI -98.3 to -71.0, p < 0.001), and major extracranial injuries (-14.2 days, 95% CI -19.5 to -8.93, p < 0.001) were significantly associated with fewer DAH180 days. DAH180 days was positively correlated with DAH at up to 3 years (r = 0.91, 95% CI 0.90-0.92) and negatively correlated with direct health care expenditure (rs = -0.89, 95% CI -0.88 to -0.90). The average MID estimated from anchor-based and distribution-based methods was 18 days. DISCUSSION: We validate DAH180 days as a potentially useful outcome measure with construct, predictive, and face validity in a population with moderate to severe TBI. Given the intensity of acute care requirements for patients with TBI, our work highlights DAH180 days as a feasible and sufficiently responsive outcome measure.


Assuntos
Lesões Encefálicas Traumáticas , Humanos , Lesões Encefálicas Traumáticas/mortalidade , Lesões Encefálicas Traumáticas/terapia , Masculino , Feminino , Pessoa de Meia-Idade , Adulto , Estudos Retrospectivos , Ontário/epidemiologia , Idoso , Avaliação de Resultados em Cuidados de Saúde , Adulto Jovem , Estudos de Coortes , Assistência Centrada no Paciente
10.
Comput Biol Med ; 180: 108997, 2024 Sep.
Artigo em Inglês | MEDLINE | ID: mdl-39137674

RESUMO

Traumatic Brain Injury (TBI) presents a broad spectrum of clinical presentations and outcomes due to its inherent heterogeneity, leading to diverse recovery trajectories and varied therapeutic responses. While many studies have delved into TBI phenotyping for distinct patient populations, identifying TBI phenotypes that consistently generalize across various settings and populations remains a critical research gap. Our research addresses this by employing multivariate time-series clustering to unveil TBI's dynamic intricates. Utilizing a self-supervised learning-based approach to clustering multivariate time-Series data with missing values (SLAC-Time), we analyzed both the research-centric TRACK-TBI and the real-world MIMIC-IV datasets. Remarkably, the optimal hyperparameters of SLAC-Time and the ideal number of clusters remained consistent across these datasets, underscoring SLAC-Time's stability across heterogeneous datasets. Our analysis revealed three generalizable TBI phenotypes (α, ß, and γ), each exhibiting distinct non-temporal features during emergency department visits, and temporal feature profiles throughout ICU stays. Specifically, phenotype α represents mild TBI with a remarkably consistent clinical presentation. In contrast, phenotype ß signifies severe TBI with diverse clinical manifestations, and phenotype γ represents a moderate TBI profile in terms of severity and clinical diversity. Age is a significant determinant of TBI outcomes, with older cohorts recording higher mortality rates. Importantly, while certain features varied by age, the core characteristics of TBI manifestations tied to each phenotype remain consistent across diverse populations.


Assuntos
Lesões Encefálicas Traumáticas , Fenótipo , Humanos , Lesões Encefálicas Traumáticas/mortalidade , Feminino , Análise por Conglomerados , Masculino , Adulto , Pessoa de Meia-Idade , Análise Multivariada , Bases de Dados Factuais
11.
Neurosurg Rev ; 47(1): 433, 2024 Aug 14.
Artigo em Inglês | MEDLINE | ID: mdl-39141133

RESUMO

Receptor-interacting protein kinase-3 (RIP-3) is a key component for inducing necroptosis following acute brain injury. Purpose of this study is to unveil whether serum RIP-3 levels are related to severity and clinical outcomes after human severe traumatic brain injury (sTBI). In this two-center prospective cohort study, serum RIP-3 levels were detected in 127 healthy controls coupled with 127 sTBI patients. The prognostic indicators encompassed posttraumatic 180-day mortality, overall survival and poor prognosis (defined as extended Glasgow outcome scale scores of 1-4). The prognosis associations were verified via multivariate analysis. There was a significant incremental serum RIP-3 levels in patients with sTBI, relative to the controls. RIP-3 levels of patients were independently correlated with Rotterdam Computed Tomography (CT) scores and Glasgow coma scale (GCS) scores, as well as were independently predictive of mortality, overall survival and poor prognosis. Mortality and poor prognosis were effectively predicted by serum RIP-3 levels under the receiver operating characteristic curve. Linear relationships between RIP-3 levels and their risks were verified. Mortality and poor prognosis models of serum RIP-3 levels combined with GCS and Rotterdam CT scores displayed efficient predictive abilities. The two models were graphically represented, which were of clinical stability and value by employing the calibration and decision curves. Increased serum RIP-3 levels after sTBI are closely linked to heightened trauma severity and poor prognosis, signifying that serum RIP-3 may be an encouraging biomarker for evaluating severity and predicting clinical outcome of sTBI.


Assuntos
Biomarcadores , Lesões Encefálicas Traumáticas , Proteína Serina-Treonina Quinases de Interação com Receptores , Humanos , Masculino , Feminino , Pessoa de Meia-Idade , Prognóstico , Adulto , Lesões Encefálicas Traumáticas/sangue , Lesões Encefálicas Traumáticas/mortalidade , Lesões Encefálicas Traumáticas/diagnóstico , Biomarcadores/sangue , Estudos Prospectivos , Proteína Serina-Treonina Quinases de Interação com Receptores/sangue , Idoso , Escala de Coma de Glasgow , Estudos de Coortes , Adulto Jovem
12.
Epilepsia ; 65(8): 2255-2269, 2024 Aug.
Artigo em Inglês | MEDLINE | ID: mdl-39119799

RESUMO

OBJECTIVE: Epilepsy is associated with significant mortality risk. There is limited research examining how traumatic brain injury (TBI) timing affects mortality in relation to the onset of epilepsy. We aimed to assess the temporal relationship between epilepsy and TBI regarding mortality in a cohort of post-9/11 veterans. METHODS: This retrospective cohort study included veterans who received health care in the Defense Health Agency and the Veterans Health Administration between 2000 and 2019. For those diagnosed with epilepsy, the index date was the date of first antiseizure medication or first seizure; we simulated the index date for those without epilepsy. We created the study groups by the index date and first documented TBI: (1) controls (no TBI, no epilepsy), (2) TBI only, (3) epilepsy only, (4) TBI before epilepsy, (5) TBI within 6 months after epilepsy, and (6) TBI >6 months after epilepsy. Kaplan-Meier estimates of all-cause mortality were calculated, and log-rank tests were used to compare unadjusted cumulative mortality rates among groups compared to controls. Cox proportional hazard models were used to compute hazard ratios (HRs) with 95% confidence intervals (CIs). RESULTS: Among 938 890 veterans, 27 436 (2.92%) met epilepsy criteria, and 264 890 (28.22%) had a TBI diagnosis. Mortality was higher for veterans with epilepsy than controls (6.26% vs. 1.12%; p < .01). Veterans with TBI diagnosed ≤6 months after epilepsy had the highest mortality hazard (HR = 5.02, 95% CI = 4.21-5.99) compared to controls, followed by those with TBI before epilepsy (HR = 4.25, 95% CI = 3.89-4.58), epilepsy only (HR = 4.00, 95% CI = 3.67-4.36), and TBI >6 months after epilepsy (HR = 2.49, 95% CI = 2.17-2.85). These differences were significant across groups. SIGNIFICANCE: TBI timing relative to epilepsy affects time to mortality; TBI within 6 months after epilepsy or before epilepsy diagnosis was associated with earlier time to death compared to those with epilepsy only or TBI >6 months after epilepsy.


Assuntos
Lesões Encefálicas Traumáticas , Epilepsia , Veteranos , Humanos , Lesões Encefálicas Traumáticas/mortalidade , Lesões Encefálicas Traumáticas/complicações , Veteranos/estatística & dados numéricos , Masculino , Feminino , Adulto , Epilepsia/mortalidade , Pessoa de Meia-Idade , Estudos Retrospectivos , Estados Unidos/epidemiologia , Fatores de Tempo , Estudos de Coortes , Idoso , Modelos de Riscos Proporcionais
13.
BMJ Open Respir Res ; 11(1)2024 Jul 31.
Artigo em Inglês | MEDLINE | ID: mdl-39089740

RESUMO

OBJECTIVE: To develop a nomogram for predicting occurrence of secondary pulmonary infection in patients with critically traumatic brain injury (TBI) during their stay in the intensive care unit, to further optimise personalised treatment for patients and support the development of effective, evidence-based prevention and intervention strategies. DATA SOURCE: This study used patient data from the publicly available MIMIC-IV (Medical Information Mart for Intensive Care IV) database. DESIGN: A population-based retrospective cohort study. METHODS: In this retrospective cohort study, 1780 patients with TBI were included and randomly divided into a training set (n=1246) and a development set (n=534). The impact of pulmonary infection on survival was analysed using Kaplan-Meier curves. A univariate logistic regression model was built in training set to identify potential factors for pulmonary infection, and independent risk factors were determined in a multivariate logistic regression model to build nomogram model. Nomogram performance was assessed with receiver operating characteristic (ROC) curves, calibration curves and Hosmer-Lemeshow test, and predictive value was assessed by decision curve analysis (DCA). RESULT: This study included a total of 1780 patients with TBI, of which 186 patients (approximately 10%) developed secondary lung infections, and 21 patients died during hospitalisation. Among the 1594 patients who did not develop lung infections, only 85 patients died (accounting for 5.3%). The survival curves indicated a significant survival disadvantage for patients with TBI with pulmonary infection at 7 and 14 days after intensive care unit admission (p<0.001). Both univariate and multivariate logistic regression analyses showed that factors such as race other than white or black, respiratory rate, temperature, mechanical ventilation, antibiotics and congestive heart failure were independent risk factors for pulmonary infection in patients with TBI (OR>1, p<0.05). Based on these factors, along with Glasgow Coma Scale and international normalised ratio variables, a training set model was constructed to predict the risk of pulmonary infection in patients with TBI, with an area under the ROC curve of 0.800 in the training set and 0.768 in the validation set. The calibration curve demonstrated the model's good calibration and consistency with actual observations, while DCA indicated the practical utility of the predictive model in clinical practice. CONCLUSION: This study established a predictive model for pulmonary infections in patients with TBI, which may help clinical doctors identify high-risk patients early and prevent occurrence of pulmonary infections.


Assuntos
Lesões Encefálicas Traumáticas , Unidades de Terapia Intensiva , Nomogramas , Humanos , Masculino , Estudos Retrospectivos , Lesões Encefálicas Traumáticas/complicações , Lesões Encefálicas Traumáticas/mortalidade , Feminino , Pessoa de Meia-Idade , Adulto , Fatores de Risco , Idoso , Medição de Risco , Infecções Respiratórias/epidemiologia , Valor Preditivo dos Testes , Curva ROC
14.
Nutrients ; 16(15)2024 Jul 24.
Artigo em Inglês | MEDLINE | ID: mdl-39125277

RESUMO

BACKGROUND: Malnutrition is a critical concern in ICU settings. It is associated with increased morbidity and mortality, yet its prevalence and impact on clinical outcomes in patients with stroke and traumatic brain injury (TBI) remain underexplored. OBJECTIVE: To evaluate the prevalence and impact of malnutrition risk on clinical outcomes in ICU patients with TBI, ischemic stroke, and hemorrhagic stroke, and to identify key risk factors associated with malnutrition risk. METHODS: This retrospective cohort study utilized electronic health records encompassing ICU admissions from 2017 to 2023. Patients with either stroke or TBI were included, with malnutrition risk assessed using the prognostic nutritional index. Data were extracted and analyzed to determine patient characteristics, clinical and laboratory parameters, and outcomes. RESULTS: This study included 1352 patients (267 TBI, 825 ischemic stroke, and 260 hemorrhagic stroke patients, >30% with pneumonia at admission). Severe malnutrition risk at admission was observed in over 60% of patients. Stroke patients, particularly those with hemorrhagic stroke, exhibited a higher risk of malnutrition compared to TBI patients. Malnutrition risk was associated with significantly higher hospital mortality and increased need for mechanical ventilation. Predictive factors for malnutrition risk included advanced age, higher SOFA scores, lower FOUR and GCS scores, and the presence of pneumonia at admission. CONCLUSIONS: Risk of malnutrition is highly prevalent among ICU patients with TBI, ischemic, and hemorrhagic stroke, significantly impacting mortality and other clinical outcomes. Identifying and managing malnutrition early in the ICU setting is crucial for improving patient outcomes. Further prospective, multicenter studies are needed to validate these findings and develop effective interventions.


Assuntos
Lesões Encefálicas Traumáticas , Estado Terminal , Registros Eletrônicos de Saúde , Unidades de Terapia Intensiva , Desnutrição , Acidente Vascular Cerebral , Humanos , Estudos Retrospectivos , Masculino , Feminino , Desnutrição/epidemiologia , Lesões Encefálicas Traumáticas/complicações , Lesões Encefálicas Traumáticas/epidemiologia , Lesões Encefálicas Traumáticas/mortalidade , Pessoa de Meia-Idade , Prevalência , Idoso , Fatores de Risco , Acidente Vascular Cerebral/epidemiologia , Acidente Vascular Cerebral/complicações , Mortalidade Hospitalar , Avaliação Nutricional , Estudos de Coortes , Adulto
15.
BMC Emerg Med ; 24(1): 141, 2024 Aug 07.
Artigo em Inglês | MEDLINE | ID: mdl-39112931

RESUMO

BACKGROUND: Preliminary evidence demonstrates that visit-to-visit systolic blood pressure (SBP) variability is a prognostic factor of TBI. However, literature regarding the impact of initial blood pressure management on the outcomes of TBI patients is limited. We aimed to further validate the clinical significance of BPV on the prognostic outcomes of patients with TBI. METHODS: We performed the analysis by using individual patient-level data acquired from the eICU-CRD, which collected 200,859 ICU admissions of 139,367 patients in 2014 and 2015 from 208 US hospitals. Adult patients with traumatic intraparenchymal hemorrhage or contusion were included. The primary outcome was in-hospital mortality and the secondary outcome was discharge-home rate. Blood pressure variability (BPV) was calculated according to standard criteria: at least six measurements were taken in the first 24 h (hyperacute group) and 36 over days 2-7 (acute group). We estimated the associations between BPV and outcomes with logistic and proportional odds regression models. The key parameter for BPV was standard deviation (SD) of SBP, categorized into quintiles. We also calculated the average real variability (ARV), as well as maximum, minimum, and mean SBP for comparison in our analysis. RESULTS: We studied 1486 patients in the hyperacute group and 857 in the acute group. SD of SBP had a significant association with the in-hospital mortality for both the hyperacute group (highest quintile adjusted OR 2.28 95% CI 1.18-4.42; ptrend<0.001) and the acute group (highest quintile adjusted OR 2.17, 95% CI 1.08-4.36; ptrend<0.001). The strongest predictors of primary outcome were SD of SBP in the hyperacute phase and minimum SBP in the acute phase. Associations were similar for the discharge-home rate (for the hyperacute group, highest quintile adjusted OR 0.58, 95% CI 0.37-0.89; ptrend<0.001; for the acute group OR 0.55, 95% CI 0.32-0.95; ptrend<0.001). CONCLUSION: Systolic BPV seems to predict a poor outcome in patients with TBI. The benefits of early treatment to maintain appropriate SBP level might be enhanced by smooth and sustained control.


Assuntos
Pressão Sanguínea , Lesões Encefálicas Traumáticas , Mortalidade Hospitalar , Humanos , Masculino , Feminino , Lesões Encefálicas Traumáticas/mortalidade , Lesões Encefálicas Traumáticas/fisiopatologia , Prognóstico , Pessoa de Meia-Idade , Adulto , Idoso , Unidades de Terapia Intensiva/estatística & dados numéricos , Estados Unidos/epidemiologia , Bases de Dados Factuais
16.
Neurology ; 103(4): e209692, 2024 Aug 27.
Artigo em Inglês | MEDLINE | ID: mdl-39088773

RESUMO

BACKGROUND AND OBJECTIVES: To analyze the ability of prehospital lactate levels to predict 2-day in-hospital mortality in patients with traumatic brain injury (TBI), severe TBI (Glasgow Coma Scale (GCS) ≤ 8 points), and mild or moderate TBI (GCS ≥ 9 points). Second, 90-day mortality was also explored. METHODS: This was a prospective, multicenter, emergency medical services (EMSs) delivery, ambulance-based, derivation-validation cohort study developed in 5 tertiary hospitals (Spain), from November 1, 2019, to July 31, 2022. Patients were recruited from among all phone requests for emergency assistance among adults who were later evacuated to referral hospitals with acute TBI. The exclusion criteria were minors, pregnancy, trauma patients without TBI, delayed presentations, patients were discharged in situ, participants with cardiac arrest, and unavailability to obtain a blood sample. The primary outcome was all-cause 2-day in-hospital mortality and 90-day mortality in patients with moderate or mild TBI compared with patients with severe TBI. Clinical and analytical parameters (lactate and glucose) were collected. The discriminative power (area under the receiver operating characteristic curve [AUC]) and calibration curve were calculated for 2 geographically separated cohorts. RESULTS: A total of 509 patients were ultimately included. The median age was 58 years (interquartile range: 43-75), and 167 patients were female (32.8%). The primary outcome occurred in 9 (2.2%) of 415 patients with moderate or mild TBI and in 42 (44.7%) of 94 patients with severe TBI. The predictive capacity of the lactate concentration was globally validated in our cohort, for which the AUC was 0.874 (95% CI 0.805-0.942) for the validation cohort. The ability of the GCS score to predict lactate concentration was greater in patients with a GCS score ≥9 points, with an AUC of 0.925 (95% CI 0.808-1.000) and a negative predictive value of 99.09 (95% CI 98.55-99.64) in the validation cohort. CONCLUSION: Our results show the benefit of using lactate in all patients with TBI, particularly in those with a GCS ≥9 points. Routine incorporation of lactate in the screening of patients with TBI could presumably reduce mortality and deterioration rates because of quicker and better identification of patients at risk.


Assuntos
Ambulâncias , Lesões Encefálicas Traumáticas , Mortalidade Hospitalar , Ácido Láctico , Humanos , Lesões Encefálicas Traumáticas/mortalidade , Lesões Encefálicas Traumáticas/sangue , Lesões Encefálicas Traumáticas/diagnóstico , Feminino , Masculino , Pessoa de Meia-Idade , Ácido Láctico/sangue , Idoso , Estudos Prospectivos , Adulto , Serviços Médicos de Emergência , Escala de Coma de Glasgow , Valor Preditivo dos Testes , Estudos de Coortes , Espanha/epidemiologia
17.
BMC Emerg Med ; 24(1): 139, 2024 Aug 02.
Artigo em Inglês | MEDLINE | ID: mdl-39095696

RESUMO

INTRODUCTION: This study aimed to evaluate the predictive accuracy of the prehospital rapid emergency medicine score (pREMS) for predicting the outcomes of hospitalized patients with traumatic brain injury (TBI) who died, were discharged, were admitted to the intensive care unit (ICU), or were admitted to the operating room (OR) within 72 h. METHODS: A retrospective cohort analysis was performed on a sample of 513 TBI patients admitted to the emergency department (ED) of Besat Hospital in 2023. Only patients of both sexes aged 18 years or older who were not pregnant and had adequate documentation of vital signs were included in the analysis. Patients who died during transport and patients who were transferred from other hospitals were excluded. The predictive power of the pREMS for each outcome was assessed by calculating the sensitivity and specificity curves and by analyzing the area under the receiver operating characteristic curve (AUROC). RESULTS: The mean pREMS scores for hospital discharge, death, ICU admission and OR admission were 11.97 ± 3.84, 6.32 ± 3.15, 8.24 ± 5.17 and 9.88 ± 2.02, respectively. pREMS accurately predicted hospital discharge and death (AOR = 1.62, P < 0.001) but was not a good predictor of ICU or OR admission (AOR = 1.085, P = 0.603). The AUROCs for the ability of the pREMS to predict outcomes in hospitalized TBI patients were 0.618 (optimal cutoff point = 7) for ICU admission and OR and 0.877 (optimal cutoff point = 9.5) for hospital discharge and death at 72 h. CONCLUSION: The results indicate that the pREMS, a new preclinical trauma score for traumatic brain injury, is a useful tool for prehospital risk stratification (RST) in TBI patients. The pREMS showed good discriminatory power for predicting in-hospital mortality within 72 h in patients with traumatic brain injury.


Assuntos
Lesões Encefálicas Traumáticas , Mortalidade Hospitalar , Humanos , Lesões Encefálicas Traumáticas/mortalidade , Lesões Encefálicas Traumáticas/terapia , Lesões Encefálicas Traumáticas/diagnóstico , Masculino , Feminino , Estudos Retrospectivos , Pessoa de Meia-Idade , Adulto , Idoso , Serviço Hospitalar de Emergência , Curva ROC , Unidades de Terapia Intensiva , Serviços Médicos de Emergência , Valor Preditivo dos Testes
18.
Sci Rep ; 14(1): 19172, 2024 08 19.
Artigo em Inglês | MEDLINE | ID: mdl-39160225

RESUMO

Pre-hospital end-tidal carbon dioxide (EtCO2) monitoring and arterial to end-tidal carbon dioxide gradient (Pa-EtCO2) have been associated with mortality in patients with traumatic brain injury. Our study aimed to analyze the association between alveolar EtCO2 or Pa-EtCO2 and mortality in patients admitted in intensive care unit (ICU) with neurological injuries. In our retrospective analysis from using large de-identified ICU databases (MIMIC-III and -IV and eICU databases), we included 2872 ICU patients with neurological injuries, identified according to the International Classification of Diseases (ICD-9 and -10), who underwent EtCO2 monitoring. We performed logistic regression and extended Cox regression to assess the association between mortality and candidate covariates, including EtCO2 and Pa-EtCO2. In-hospital mortality was 26% (n = 747). In univariate analysis, both the Pa-EtCO2 gradient and EtCO2 levels during the first 24 h were significantly associated with mortality (for a 1 mmHg increase: OR = 1.03 [CI95 1.016-1.035] and OR = 0.94 [CI95 0.923-0.953]; p < 0.001). The association remained significant in multivariate analysis. The time-varying evolution of EtCO2 was independently associated with mortality (for a 1 mmHg increase: HR = 0.976 [CI95 0.966-0.985]; p < 0.001). The time-varying Pa-EtCO2 gradient was associated with mortality only in univariate analysis. In neurocritical patients, lower EtCO2 levels at admission and throughout the ICU stay were independently associated with mortality and should be avoided.


Assuntos
Dióxido de Carbono , Mortalidade Hospitalar , Unidades de Terapia Intensiva , Humanos , Dióxido de Carbono/metabolismo , Dióxido de Carbono/análise , Masculino , Feminino , Pessoa de Meia-Idade , Estudos Retrospectivos , Idoso , Lesões Encefálicas Traumáticas/mortalidade , Lesões Encefálicas Traumáticas/metabolismo , Adulto , Volume de Ventilação Pulmonar
19.
World Neurosurg ; 190: e891-e919, 2024 Oct.
Artigo em Inglês | MEDLINE | ID: mdl-39147020

RESUMO

OBJECTIVE: To explore mortality risk factors and to construct an online nomogram for predicting in-hospital mortality in traumatic brain injury (TBI) patients receiving invasive mechanical ventilation (IMV) in intensive care unit (ICU). METHODS: We retrospectively analyzed TBI patients on IMV in ICU from Medical Information Mart for Intensive Care IV database and 2 hospitals. Least absolute shrinkage and selection operation regression and multiple logistic regression were used to detect predictors of in-hospital mortality and to construct an online nomogram. The predictive performance of nomogram was evaluated using area under the receiver operating characteristic curves (AUC), calibration curves, decision curve analysis, and clinical impact curves. RESULTS: Five hundred ten from Medical Information Mart for Intensive Care IV database were enrolled for nomogram construction (80%, n = 408) and internal validation (20%, n = 102). One hundred eighty-five from 2 hospitals were enrolled for external validation. Least absolute shrinkage and selection operation-logistic regression revealed predictors of in-hospital mortality among TBI patients on IMV in ICU included Glasgow Coma Scale (GCS) after ICU admission, Acute Physiology Score III (APS III) after ICU admission, neutrophil and lymphocyte ratio after IMV, blood urea nitrogen after IMV, arterial serum lactate after IMV, and in-hospital tracheotomy. The AUC, calibration curves, decision curve analysis, and clinical impact curves indicated the nomogram had good discrimination, calibration, clinical benefit, and applicability. The multimodel comparisons revealed the nomogram had higher AUC than GCS, APS III, and Simplified Acute Physiology Score II. CONCLUSIONS: We constructed and validated an online nomogram based on routinely recorded factors at admission to ICU and at the beginning of IMV to target prediction of in-hospital mortality among TBI patients on IMV in ICU.


Assuntos
Lesões Encefálicas Traumáticas , Mortalidade Hospitalar , Unidades de Terapia Intensiva , Nomogramas , Respiração Artificial , Humanos , Lesões Encefálicas Traumáticas/mortalidade , Lesões Encefálicas Traumáticas/terapia , Lesões Encefálicas Traumáticas/diagnóstico , Masculino , Feminino , Pessoa de Meia-Idade , Adulto , Estudos Retrospectivos , Idoso , Escala de Coma de Glasgow , Fatores de Risco
20.
J Surg Res ; 302: 679-684, 2024 Oct.
Artigo em Inglês | MEDLINE | ID: mdl-39208493

RESUMO

INTRODUCTION: The management of traumatic brain injury (TBI) requires significant health-care resources. The modified Brain Injury Guidelines (mBIG) stratifies TBI patients by severity to help guide disposition and management. We sought to analyze the outcomes of TBI patients managed in a non-intensive care unit (ICU) setting after stratifying them using the mBIG criteria. METHODS: A retrospective single-center study was performed on all adult patients who sustained blunt TBI from 2021 to 2022 and were managed in a non-ICU setting. Primary outcome was unplanned upgrade to the ICU. Secondary outcomes were need for neurosurgical intervention, unplanned intubation, mortality, and hospital length of stay. Patients were divided into cohorts of mBIG 1 & 2 versus mBIG 3. RESULTS: Of the 274 patients managed in a non-ICU setting, 119 (43.4%) met mBIG 3 criteria. The majority (76.5%) were managed in a step-down level of care. Nine patients required upgrade to the ICU, with only two upgraded for acute progression of their intracranial hemorrhage. Eight patients in mBIG 3 cohort required neurosurgical interventions, with only two related to progression of their intracranial hemorrhage and both over 24 h after admission. The remaining six patients had planned delayed neurosurgical intervention. Unplanned intubation occurred in three patients with only one related to a delayed progression of their TBI. Longer hospitalization and decreased survival were noted in mBIG 3 group. No differences in 30-d readmissions, stroke, venous thromboembolism events or seizures were found between the two groups. CONCLUSIONS: Select patients with severe TBI may be considered for admission to step-down units with frequent neurologic exams in lieu of ICU level of care.


Assuntos
Lesões Encefálicas Traumáticas , Tempo de Internação , Humanos , Lesões Encefálicas Traumáticas/terapia , Lesões Encefálicas Traumáticas/mortalidade , Lesões Encefálicas Traumáticas/diagnóstico , Estudos Retrospectivos , Masculino , Feminino , Pessoa de Meia-Idade , Adulto , Tempo de Internação/estatística & dados numéricos , Idoso , Resultado do Tratamento , Guias de Prática Clínica como Assunto , Unidades de Terapia Intensiva/estatística & dados numéricos , Procedimentos Neurocirúrgicos/estatística & dados numéricos
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