PubMed چکیده/رکورد

Survival status, mortality predictors, and scores in patients with severe traumatic brain injury in the intensive care unit.

استودیوی صوتی مقاله

پخش حرفه‌ای فارسی و انگلیسی

در حال بررسی نسخه‌های صوتی ذخیره‌شده…

صوت تولیدشده با هوش مصنوعی است. برای کاربرد علمی یا درمانی، متن و منبع اصلی را بررسی کنید.
خواندن هوشمند فارسی و انگلیسی در حال آماده‌سازی صداهای مرورگر…
تنظیم صدای طبیعی و سرعت

صداهایی که در نامشان «Natural»، «Neural» یا «Online» دیده می‌شود معمولاً طبیعی‌ترند. انتخاب صدا به صداهای نصب‌شده در ویندوز و مرورگر شما بستگی دارد.

چکیده اصلی

BACKGROUND: Patients with traumatic brain injury (TBI) occupy an important place in intensive care units (ICUs) with high morbidity and mortality rates. The aim of this study was to determine the parameters predictive of mortality as the primary outcome and the distribution of these parameters as a secondary outcome in patients admitted to the ICU with TBI. METHODS: After ethics committee approval and informed consent of the patient's relatives, TBI patients over 18 years of age treated in the anesthesia and reanimation ICU of our hospital between 2021 and 2023 were retrospectively included in our cohort study. The association and distribution of 18 different parameters, including demographic and clinical characteristics of TBI patients at ICU admission, with mortality were compared. Univariate and multivariate analyses were used to estimate the odds ratio for mortality. RESULTS: Of the 194 patients included in the study, 80.4% were male, the mean age was 39.1±19.8 years, and the mortality rate was 35,1%. When comparing patients in 2 groups as survivor and non-survivor, patients in non-survivor group had a significantly lower mean Glasgow Coma Scale (GCS) score (5.7±3.1 vs. 10.1±3.1, p<0.001), revised trauma score (RTS) (5.25±2.1 vs. 10.6±2.7), the rate of surgery (33.8% vs. 53.2%, p<0.01), and the rate of epidural hematoma (EDH) (33.8% vs. 53.2%, p<0.01). The mean Acute Physiology and Chronic Health Evaluation II (APACHE II) score (29 vs. 13, p<0.001), the estimated mortality rate based on the mean APACHE II score (55% vs. 12%, p<0.001), the stress index (SI), (62.3±29.5 vs. 42.4±19.2, p<0.001), the rate of intracerebral hematoma/hemorrhage (ICH) (52.9% vs. 30.2%, p<0.01), the rate of skull fracture (80.9% vs. 24.6%, p<0.01), and the rate of intubation (94.1% vs. 60.3%, p<0.01) were found to be higher in non-survivor group. In multivariate analysis, the significant independent predictors of mortality were high APACHE II score (OR: 1.292 [1.192-1.400, p<0.001]), high SI (OR: 0.820 [0.699-0.921], p<0.001), and the presence of concomitant skull fracture (OR: 4.982 [1.894-13.103], p<0.001). CONCLUSION: our study, high APACHE II score, high SI, presence of skull fracture, low GCS score, low RTS, intubation, and presence of ICH were associated with high mortality, while operability and presence of EDH were associated with low mortality. Therefore, we believe that these parameters should be prioritized when following TBH cases to initiate treatment earlier and prevent high mortality.

متن کامل اصلی

متن در JumpToDate ذخیره نشده است.

برای بررسی دسترسی کتابخانه‌ای یا خرید، رکورد اصلی را باز کنید.

رفتن به منبع اصلی
در همین زیرشاخه

مقاله‌های مرتبط

PubMed2026

Clinical effectiveness and safety of metadoxine in the management of acute alcohol intoxication: A single-center retrospective cohort study.

BACKGROUND: Acute alcohol intoxication (AAI) is a common emergency with no specific antidote. Metadoxine has shown potential but lacks sufficient real-world evidence, particularly in Chinese populations. OBJECTIVES: To evaluate the clinical efficacy and safety of metadoxine in patients with acute alcohol intoxication. METHODS: This single-center retrospective cohort study included 124 patients with AAI admitted to an emergency departme…

PubMed2026

D3MI: an efficient and powerful federated imputation method for bias reduction in the analysis of distributed incomplete data by accounting for within-site correlation and between-site heterogeneity.

BACKGROUND: Electronic health records (EHRs) collected from diverse healthcare institutions offer a rich and representative data source for clinical research. Federated learning enables analysis of these distributed data without sharing sensitive patient-level information, preserving privacy. However, missing data remain a major challenge and can introduce substantial bias if not properly addressed. Very few distributed imputation meth…

PubMed2026

Extraction of Pain Severity and Functional Interference From Clinical Narratives Using Domain-Informed Large Language Models: Protocol for a Development and Validation Study.

BACKGROUND: Chronic pain is a leading cause of disability and requires multidimensional assessment of pain intensity and functioning, yet electronic health records rarely capture these measures systematically. By contrast, surveys collecting patient-reported outcomes can assess pain over multiple dimensions but remain resource-intensive and difficult to scale for continuous population-level monitoring. OBJECTIVE: The objective of this …

PubMed2026

From data entry to digital transformation: Allied health perspectives on standardised electronic medical records data.

BACKGROUND: Electronic medical records (EMRs) currently rely on standardised data fields to support secondary data use for clinical care, performance monitoring, and system-level reporting. However, utilisation of standardised data capture and reporting within allied health remains underdeveloped in practice. Greater understanding of how allied health clinicians and managers perceive the purpose, value, and impact of standardised data …