Effect of antiplatelet and anticoagulant medication use on injury severity and mortality in patients with traumatic brain injury treated in the intensive care unit.

BACKGROUND: Antiplatelet and anticoagulant medication are increasingly common and can increase the risks of morbidity and mortality in traumatic brain injury (TBI) patients. Our study aimed to quantify the association of antiplatelet or anticoagulant use in intensive care unit (ICU)-treated TBI patients with 1-year mortality and head CT findings. METHOD: We conducted a retrospective, multicenter observational study using the Finnish Intensive Care Consortium database. We included adult TBI patients admitted to four university hospital ICUs during 2003-2013. The patients were followed up until the end of 2016. The national drug reimbursement database provided information on prescribed medication for our study. We used multivariable logistic regression models to assess the association between TBI severity, prescribed antiplatelet and anticoagulant medication, and their association with 1-year mortality. RESULTS: Of 3031 patients, 128 (4%) had antiplatelet and 342 (11%) anticoagulant medication before their TBI. Clopidogrel (2%) and warfarin (9%) were the most common antiplatelets and anticoagulants. Three patients had direct oral anticoagulant (DOAC) medication. The median age was higher among antiplatelet/anticoagulant users than in non-users (70 years vs. 52 years, p < 0.001), and their head CT findings were more severe (median Helsinki CT score 3 vs. 2, p < 0.05). In multivariable analysis, antiplatelets (OR 1.62, 95% CI 1.02-2.58) and anticoagulants (OR 1.43, 95% CI 1.06-1.94) were independently associated with higher odds of 1-year mortality. In a sensitivity analysis including only patients over 70, antiplatelets (OR 2.28, 95% CI 1.16-4.22) and anticoagulants (1.50, 95% CI 0.97-2.32) were associated with an increased risk of 1-year mortality. CONCLUSIONS: Both antiplatelet and anticoagulant use before TBI were risk factors in our study for 1-year mortality. Antiplatelet and anticoagulation medication users had a higher radiological intracranial injury burden than non-users defined by the Helsinki CT score. Further investigation on the effect of DOACs on mortality should be done in ICU-treated TBI patients.

Incidence and risk factors of posttraumatic hydrocephalus and its association with outcome following intensive care unit treatment for traumatic brain injury: a multicenter observational study.

OBJECTIVE: Posttraumatic hydrocephalus (PTH) is a recognized long-term complication of traumatic brain injury (TBI). The authors assessed the incidence and risk factors of PTH and its association with outcome in patients with TBI who were treated in the intensive care unit (ICU). METHODS: The authors used the Finnish Intensive Care Consortium (FICC) database to retrospectively identify all adult patients with TBI treated in 4 Finnish tertiary ICUs during 2003-2013. All patients were followed up from hospital discharge to a diagnosis of PTH, death, or the end of 2016. PTH was defined as a need for a postdischarge ventriculoperitoneal or ventriculoatrial shunt. The authors collected data on shunt-insertion procedures, mortality, and disability status from nationwide registries cross-linked to the FICC database. The authors calculated the occurrence and incidence rates of PTH and used multivariable logistic regression modeling to determine risk factors for PTH and its association with outcome. RESULTS: Sixty-one of 2882 patients (2.1%) developed PTH during a median follow-up time of 4.6 years, with a median of 102 days (interquartile range 54-220 days) between hospital discharge and PTH. Risk factors for PTH were increasing age (OR 1.02 per year, 95% CI 1.01-1.04); a midline shift of > 5 mm (OR 1.88, 95% CI 1.01-3.48); traumatic subarachnoid hemorrhage (OR 3.59, 95% CI 1.79-7.21); external ventricular drainage (OR 3.54, 95% CI 1.68-7.46); and decompressive craniectomy (OR 3.68, 95% CI 1.37-9.88). PTH was independently associated with permanent disability after case-mix adjustment (OR 3.62, 95% CI 2.11-6.22). CONCLUSIONS: PTH is an uncommon long-term complication of TBI, with several risk factors that are identifiable early during neurointensive care. The development of PTH is independently associated with poor functional outcome. Whether earlier detection and treatment of PTH leads to improved outcomes remains unknown, highlighting the importance of adequate follow-up and prompt detection and treatment of the condition.

External validation of the NeuroImaging Radiological Interpretation System and Helsinki computed tomography score for mortality prediction in patients with traumatic brain injury treated in the intensive care unit: a Finnish intensive care consortium study.

BACKGROUND: Admission computed tomography (CT) scoring systems can be used to objectively quantify the severity of traumatic brain injury (TBI) and aid in outcome prediction. We aimed to externally validate the NeuroImaging Radiological Interpretation System (NIRIS) and the Helsinki CT score. In addition, we compared the prognostic performance of the NIRIS and the Helsinki CT score to the Marshall CT classification and to a clinical model. METHODS: We conducted a retrospective multicenter observational study using the Finnish Intensive Care Consortium database. We included adult TBI patients admitted in four university hospital ICUs during 2003-2013. We analyzed the CT scans using the NIRIS and the Helsinki CT score and compared the results to 6-month mortality as the primary outcome. In addition, we created a clinical model (age, Glasgow Coma Scale score, Simplified Acute Physiology Score II, presence of severe comorbidity) and combined clinical and CT models to see the added predictive impact of radiological data to conventional clinical information. We measured model performance using area under curve (AUC), Nagelkerke's R2 statistics, and the integrated discrimination improvement (IDI). RESULTS: A total of 3031 patients were included in the analysis. The 6-month mortality was 710 patients (23.4%). Of the CT models, the Helsinki CT displayed best discrimination (AUC 0.73 vs. 0.70 for NIRIS) and explanatory variation (Nagelkerke's R2 0.20 vs. 0.15). The clinical model displayed an AUC of 0.86 (95% CI 0.84-0.87). All CT models increased the AUC of the clinical model by + 0.01 to 0.87 (95% CI 0.85-0.88) and the IDI by 0.01-0.03. CONCLUSION: In patients with TBI treated in the ICU, the Helsinki CT score outperformed the NIRIS for 6-month mortality prediction. In isolation, CT models offered only moderate accuracy for outcome prediction and clinical variables outweighing the CT-based predictors in terms of predictive performance.

Trends in mortality after intensive care of patients with traumatic brain injury in Finland from 2003 to 2019: a Finnish Intensive Care Consortium study.

BACKGROUND: Several studies have suggested no change in the outcome of patients with traumatic brain injury (TBI) treated in intensive care units (ICUs). This is mainly due to the shift in TBI epidemiology toward older and sicker patients. In Finland, the share of the population aged 65 years and over has increased the most in Europe during the last decade. We aimed to assess changes in 12-month and hospital mortality of patients with TBI treated in the ICU in Finland. METHODS: We used a national benchmarking ICU database (Finnish Intensive Care Consortium) to study adult patients who had been treated for TBI in four tertiary ICUs in Finland during 2003-2019. We divided admission years into quartiles and used multivariable logistic regression analysis, adjusted for case-mix, to assess the association between admission year and mortality. RESULTS: A total of 4535 patients were included. Between 2003-2007 and 2016-2019, the patient median age increased from 54 to 62 years, the share of patients having significant comorbidity increased from 8 to 11%, and patients being dependent on help in activities of daily living increased from 7 to 15%. Unadjusted hospital and 12-month mortality decreased from 18 and 31% to 10% and 23%, respectively. After adjusting for case-mix, a reduction in odds of 12-month and hospital mortality was seen in patients with severe TBI, intracranial pressure monitored patients, and mechanically ventilated patients. Despite a reduction in hospital mortality, 12-month mortality remained unchanged in patients aged ≥ 70 years. CONCLUSION: A change in the demographics of ICU-treated patients with TBI care is evident. The outcome of younger patients with severe TBI appears to improve, whereas long-term mortality of elderly patients with less severe TBI has not improved. This has ramifications for further efforts to improve TBI care, especially among the elderly.

Psychotropic medication use among patients with a traumatic brain injury treated in the intensive care unit: a multi-centre observational study.

BACKGROUND: Psychiatric sequelae after traumatic brain injury (TBI) are common and may impede recovery. We aimed to assess the occurrence and risk factors of post-injury psychotropic medication use in intensive care unit (ICU)-treated patients with TBI and its association with late mortality. METHODS: We conducted a retrospective multi-centre observational study using the Finnish Intensive Care Consortium database. We included adult TBI patients admitted in four university hospital ICUs during 2003-2013 that were alive at 1 year after injury. Patients were followed-up until end of 2016. We obtained data regarding psychotropic medication use through the national drug reimbursement database. We used multivariable logistic regression models to assess the association between TBI severity, treatment-related variables and the odds of psychotropic medication use and its association with late all-cause mortality (more than 1 year after TBI). RESULTS: Of 3061 patients, 2305 (75%) were alive at 1 year. Of these, 400 (17%) became new psychotropic medication users. The most common medication types were antidepressants (61%), antipsychotics (35%) and anxiolytics (26%). A higher Glasgow Coma Scale (GCS) score was associated with lower odds (OR 0.93, 95% CI 0.90-0.96) and a diffuse injury with midline shift was associated with higher odds (OR 3.4, 95% CI 1.3-9.0) of new psychotropic medication use. After adjusting for injury severity, new psychotropic medication use was associated with increased odds of late mortality (OR 1.19, 95% CI 1.19-2.17, median follow-up time 6.4 years). CONCLUSIONS: Psychotropic medication use is common in TBI survivors. Higher TBI severity is associated with increased odds of psychotropic medication use. New use of psychotropic medications after TBI was associated with increased odds of late mortality. Our results highlight the need for early identification of potential psychiatric sequelae and psychiatric evaluation in TBI survivors.

Occurrence and prognostic effect of cervical spine injuries and cervical artery injuries with concomitant severe head injury.

BACKGROUND: Blunt cerebrovascular injuries (BCVIs) and cervical spinal injuries (CSIs) are not uncommon injuries in patients with severe head injury and may affect patient recovery. We aimed to assess the independent relationship between BCVI, CSI, and outcome in patients with severe head injury. METHODS: We identified patients with severe head injury from the Helsinki Trauma Registry treated during 2015-2017 in a large level 1 trauma hospital. We assessed the association between BCVI and SCI using multivariable logistic regression, adjusting for injury severity. Our primary outcome was functional outcome at 6 months, and our secondary outcome was 6-month mortality. RESULTS: Of 255 patients with a cervical spine CT, 26 patients (10%) had a CSI, and of 194 patients with cervical CT angiography, 16 patients (8%) had a BCVI. Four of the 16 BCVI patients had a BCVI-related brain infarction, and four of the CSI patients had some form of spinal cord injury. After adjusting for injury severity in multivariable logistic regression analysis, BCVI associated with poor functional outcome (odds ratio [OR] = 6.0, 95% CI [confidence intervals] = 1.4-26.5) and mortality (OR = 7.9, 95% CI 2.0-31.4). We did not find any association between CSI and outcome. CONCLUSIONS: We found that BCVI with concomitant head injury was an independent predictor of poor outcome in patients with severe head injury, but we found no association between CSI and outcome after severe head injury. Whether the association between BCVI and poor outcome is an indirect marker of a more severe injury or a result of treatment needs further investigations.

Extent of Resection and Long-Term Survival of Pineal Region Tumors in Helsinki Neurosurgery.

BACKGROUND: Pineal region tumors represent challenging surgical lesions with wide ranges of survival reported in different surgical series. In this article, we emphasize the role of complete microsurgical resection (CMR) to obtain a favorable long-term outcome of pineal region tumors. METHODS: We report a retrospective study of pineal region tumors operated on in Helsinki Neurosurgery between 1997 and 2015. Information was obtained from the hospital records, and an evaluation of the Finnish population register was conducted in July 2018 to determine the current status of the patients. RESULTS: A total of 76 pineal region tumors were operated on. The survival was 62% at a mean follow-up of 125 ± 105 months (range, 0-588 months), and the disease-related mortality was limited to 14 patients (18.4%). Up to July 2018, 29 patients had died. Two patients died 1 and 3 months after surgery of delayed thalamic infarctions, 12 patients of disease progression, and 15 had non-disease-related deaths. Only 1 patient was lost in the long-term follow-up. Ten of 14 disease-related deaths occurred during the first 5 years of follow-up: 5 diffuse gliomas, 3 germ cell tumors, 1 grade II-III pineal parenchymal tumor of intermediate differentiation, and 1 meningioma. CMR was linked to better tumor-free survival and long-term survival, with the exception of diffuse gliomas. CONCLUSIONS: CMR, in the setting of a multidisciplinary management of pineal region tumors, correlates with favorable survival and with minimal mortality. Surgically treated grade II-IV gliomas constitute a particular group with high mortality within the first 5 years independently of the microsurgical resection.

Temporal changes in outcome following intensive care unit treatment after traumatic brain injury: a 17-year experience in a large academic neurosurgical centre.

BACKGROUND: Traumatic brain injury (TBI) is a major cause of morbidity and mortality. However, it remains undetermined whether long-term outcomes after TBI have improved over the past two decades. METHODS: We conducted a retrospective analysis of consecutive TBI patients admitted to an academic neurosurgical ICU during 1999-2015. Primary outcomes of interest were 6-month all-cause mortality (available for all patients) and 6-month Glasgow Outcome Scale (GOS, available from 2005 onwards). GOS was dichotomized to favourable and unfavourable functional outcome. Temporal changes in outcome were assessed using multivariate logistic regression analysis, adjusting for age, sex, GCS motor score, pupillary light responsiveness, Marshall CT classification and major extracranial injury. RESULTS: Altogether, 3193 patients were included. During the study period, patient age and admission Glasgow Coma Scale score increased, while the overall TBI severity did not change. Overall unadjusted 6-month mortality was 25% and overall unadjusted unfavourable outcome (2005-2015) was 44%. There was no reduction in the adjusted odds of 6-month mortality (OR 0.98; 95% CI 0.96-1.00), but the adjusted odds of favourable functional outcome significantly increased (OR 1.08; 95% CI 1.04-1.11). Subgroup analysis showed outcome improvements only in specific subgroups (conservatively treated patients, moderate-to-severe TBI patients, middle-aged patients). CONCLUSIONS: During the past two decades, mortality after significant TBI has remained largely unchanged, but the odds of favourable functional outcome have increased significantly in specific subgroups, implying an improvement in quality of care. These developments have been paralleled by notable changes in patient characteristics, emphasizing the importance of continuous epidemiological monitoring.

Evaluation of novel computerized tomography scoring systems in human traumatic brain injury: An observational, multicenter study.

BACKGROUND: Traumatic brain injury (TBI) is a major contributor to morbidity and mortality. Computerized tomography (CT) scanning of the brain is essential for diagnostic screening of intracranial injuries in need of neurosurgical intervention, but may also provide information concerning patient prognosis and enable baseline risk stratification in clinical trials. Novel CT scoring systems have been developed to improve current prognostic models, including the Stockholm and Helsinki CT scores, but so far have not been extensively validated. The primary aim of this study was to evaluate the Stockholm and Helsinki CT scores for predicting functional outcome, in comparison with the Rotterdam CT score and Marshall CT classification. The secondary aims were to assess which individual components of the CT scores best predict outcome and what additional prognostic value the CT scoring systems contribute to a clinical prognostic model. METHODS AND FINDINGS: TBI patients requiring neuro-intensive care and not included in the initial creation of the Stockholm and Helsinki CT scoring systems were retrospectively included from prospectively collected data at the Karolinska University Hospital (n = 720 from 1 January 2005 to 31 December 2014) and Helsinki University Hospital (n = 395 from 1 January 2013 to 31 December 2014), totaling 1,115 patients. The Marshall CT classification and the Rotterdam, Stockholm, and Helsinki CT scores were assessed using the admission CT scans. Known outcome predictors at admission were acquired (age, pupil responsiveness, admission Glasgow Coma Scale, glucose level, and hemoglobin level) and used in univariate, and multivariable, regression models to predict long-term functional outcome (dichotomizations of the Glasgow Outcome Scale [GOS]). In total, 478 patients (43%) had an unfavorable outcome (GOS 1-3). In the combined cohort, overall prognostic performance was more accurate for the Stockholm CT score (Nagelkerke's pseudo-R2 range 0.24-0.28) and the Helsinki CT score (0.18-0.22) than for the Rotterdam CT score (0.13-0.15) and Marshall CT classification (0.03-0.05). Moreover, the Stockholm and Helsinki CT scores added the most independent prognostic value in the presence of other known clinical outcome predictors in TBI (6% and 4%, respectively). The aggregate traumatic subarachnoid hemorrhage (tSAH) component of the Stockholm CT score was the strongest predictor of unfavorable outcome. The main limitations were the retrospective nature of the study, missing patient information, and the varying follow-up time between the centers. CONCLUSIONS: The Stockholm and Helsinki CT scores provide more information on the damage sustained, and give a more accurate outcome prediction, than earlier classification systems. The strong independent predictive value of tSAH may reflect an underrated component of TBI pathophysiology. A change to these newer CT scoring systems may be warranted.

[Diagnostic challenges of aneurysmal subarachnoid hemorrhage]. / Aneurysmaattinen lukinkalvonalainen verenvuoto--diagnoosi kiven alla ja kivi hukassa?

Diagostic approach to aneurysmal subarachnoid hemorrhage (aSAH) is based on computer tomography (CT) imaging, although a lumbar puncture and subsequent cerebrospinal fluid analysis is sometimes necessary. Identification of the ruptured aneurysm is done using angiography. Despite of modern imaging techniques, diagnostic definition of aSAH is still occasionally challenging. We describe three cases in which the diagnosis of aSAH has been delayed, in spite of positive imaging or lumbar puncture findings.

A novel classification and online platform for planning and documentation of medical applications of additive manufacturing.

Additive manufacturing technologies are widely used in industrial settings and now increasingly also in several areas of medicine. Various techniques and numerous types of materials are used for these applications. There is a clear need to unify and harmonize the patterns of their use worldwide. We present a 5-class system to aid planning of these applications and related scientific work as well as communication between various actors involved in this field. An online, matrix-based platform and a database were developed for planning and documentation of various solutions. This platform will help the medical community to structurally develop both research innovations and clinical applications of additive manufacturing. The online platform can be accessed through http://www.medicalam.info.