PURPOSE: To analyze risk factors for severe trauma and establish a nomogram for early risk prediction, to improve the early identification of severe trauma. METHODS: This study was conducted on the patients treated in 81 trauma treatment institutions in Gansu province from 2020 to 2022. Patients were grouped by year, with 5364 patients from 2020 to 2021 as the training set and 1094 newly admitted patients in 2020 as the external validation set. Based on the injury severity score (ISS), patients in the training set were classified into 2 subgroups of the severe trauma group (n = 478, ISS scores ≥25) and the non-severe trauma group (n = 4886, ISS scores <25). Univariate and binary logistic regression analyses were employed to identify independent risk factors for severe trauma. Subsequently, a predictive model was developed using the R software environment. Furthermore, the model was subjected to internal and external validation via the Hosmer-Lemeshow test and receiver operating characteristic curve analysis. RESULTS: In total, 6458 trauma patients were included in this study. Initially, this study identified several independent risk factors for severe trauma, including multiple traumatic injuries (polytrauma), external hemorrhage, elevated shock index, elevated respiratory rate, decreased peripheral oxygen saturation, and decreased Glasgow coma scale score (all p < 0.05). For internal validation, the area under the receiver operating characteristic curve was 0.914, with the sensitivity and specificity of 88.4% and 87.6%, respectively; while for external validation, the area under the receiver operating characteristic curve was 0.936, with the sensitivity and specificity of 84.6% and 93.7%, respectively. In addition, a good model fitting was observed through the Hosmer-Lemeshow test and calibration curve analysis (p > 0.05). CONCLUSION This study establishes a nomogram for early risk prediction of severe trauma, which is suitable for primary healthcare institutions in underdeveloped western China. It facilitates early triage and quantitative assessment of trauma severity by clinicians prior to clinical interventions.
Humans ; Nomograms ; Male ; Female ; Wounds and Injuries/diagnosis* ; Risk Factors ; Middle Aged ; Adult ; Injury Severity Score ; Risk Assessment ; ROC Curve ; Aged ; Logistic Models ; China ; Glasgow Coma Scale

OBJECTIVE: To explore the prognostic value of C-reactive protein (CRP)/albumin (Alb) ratio combined with platelet count (PLT) and Glasgow coma score (GCS) in patients with heat stroke (HS). METHODS: A retrospective analysis was conducted on the clinical data of HS patients admitted to the department of intensive care unit (ICU) of Nanchong Central Hospital from May 1, 2020 to October 31, 2023. This included general information, admission GCS, laboratory indicators and 28-day prognosis. The differences in the above indicators were compared between two groups of patients with different prognoses. Statistically significant indicators from univariate analysis were included in multivariate Logistic regression analysis to screen for factors influencing 28-day mortality in HS patients. The predictive value of various influencing factors on the 28 days prognosis of HS patients were analyzed by receiver operator characteristic curve (ROC curve). RESULTS: A total of 73 HS patients were included, of whom 41 survived for 28-day and 32 died. There were no statistically significant differences in gender and age between the two groups of HS patients with different prognoses. The white blood cell count (WBC), neutrophil count (NEU), aspartate aminotransferase (AST), alanine aminotransferase (ALT), CRP, and CRP/Alb ratio in the death group were significantly higher than those of the survival group, and the admission GCS score, platelet count (PLT), total bilirubin (TBil) and Alb were significantly lower than the survival group [WBC (×10⁹/L): 14.80 (11.44, 17.15) vs. 11.96 (9.47, 14.82), NEU (×10⁹/L): 13.05 (8.56, 15.67) vs. 9.50 (6.68, 12.09), AST (U/L): 108.00 (52.70, 291.50) vs. 64.50 (38.25, 110.50), ALT (U/L): 62.00 (19.50, 159.00) vs. 34.50 (20.75, 70.75), CRP (mg/L): 22.49 (3.42, 58.93) vs. 3.68 (1.01, 11.46), CRP/Alb ratio: 0.53 (0.08, 1.77) vs. 0.08 (0.02, 0.44), GCS score: 7.0 (5.0, 8.0) vs. 8.5 (7.0, 11.0), PLT (×10⁹/L): 107.00 (73.50, 126.00) vs. 131.50 (107.50, 176.25), TBil (mmol/L): 15.60 (10.00, 25.30) vs. 21.40 (14.80, 30.05), Alb (g/L): 32.65 (32.53, 49.30) vs. 38.70 (36.20, 40.40), all P < 0.05]. Binary Logistic regression analysis showed that the GCS score [odds ratio (OR) = 0.686, 95% confidence interval (95%CI) was 0.491-0.959, P = 0.028], PLT (OR = 0.973, 95%CI was 0.954-0.992, P = 0.005), NEU (OR = 1.312, 95%CI was 1.072-1.606, P = 0.009) and CRP/Alb ratio (OR = 7.652, 95%CI was 1.632-35.881, P = 0.010) were independent influencing factors for 28-day mortality in HS patients. ROC curve analysis showed that the area under the curve (AUC) of GCS score, PLT, and CRP/Alb ratio for single prediction of 28-day prognosis in HS patients was 0.705, 0.752, and 0.729, and the combination of all three predicted the highest AUC of 28-day prognosis in HS patients (0.917), with a sensitivity and specificity of 86.2% and 81.2%, respectively. CONCLUSION CRP/Alb ratio, PLT, and GCS score are independent influencing factors affecting the prognosis of HS patients, and all of them have a certain predictive value for the prognosis of HS patients, in which the combination of the three has a higher predictive value for the prognosis of HS patients.
Humans ; C-Reactive Protein/analysis* ; Prognosis ; Glasgow Coma Scale ; Retrospective Studies ; Heat Stroke/diagnosis* ; Platelet Count ; Male ; Female ; Serum Albumin/analysis* ; Middle Aged ; Aged ; Adult ; ROC Curve

PURPOSE: Despite advances in modern medicine, traumatic brain injuries (TBIs) are still a major medical problem. Early diagnosis of TBI is crucial for clinical decision-making and prognosis. This study aims to compare the predictive value of Helsinki, Rotterdam, and Stockholm CT scores in predicting the 6-month outcomes in blunt TBI patients. METHODS: This cohort study was conducted on blunt TBI patients of 15 years or older. All of them were admitted to the surgical emergency department of Shahid Beheshti Hospital in Kashan, Iran from 2020 to 2021 and had abnormal trauma-related findings on brain CT images. The patients' demographic data such as age, gender, history of comorbid conditions, mechanism of trauma, Glasgow coma scale, CT images, length of hospital stay, and surgical procedures were recorded. The Helsinki, Rotterdam, and Stockholm CT scores were simultaneously determined according to the existing guidelines. The included patients' 6-month outcome was determined using the Glasgow outcome scale extended. M Data were analyzed by SPSS software version 16.0. Sensitivity, specificity, negative/positive predictive value and the area under the receiver operating characteristic curve were calculated for each test. The Kappa agreement coefficient and Kuder Richardson-20 were used to compare the scoring systems. RESULTS: Altogether 171 TBI patients met the inclusion and exclusion criteria, with the mean age of (44.9 ± 20.2) years. Most patients were male (80.7%), had traffic related injuries (83.1%) and mild TBIs (64.3%). Patients with lower Glasgow coma scale had higher Helsinki, Rotterdam, and Stockholm CT scores and lower Glasgow outcome scale extended scores. Among all the scoring systems, the Helsinki and Stockholm scores showed the highest agreement in predicting patients' outcomes (kappa = 0.657, p < 0.001). The Rotterdam scoring system had the highest sensitivity (90.1%) in predicting death of TBI patients, whereas the Helsinki scoring system had the highest sensitivity (89.8%) in predicting the 6-month outcome in TBI patients. CONCLUSION The Rotterdam scoring system was superior in predicting death in TBI patients, whereas the Helsinki scoring system was more sensitive in predicting the 6-month outcome.
Humans ; Male ; Young Adult ; Adult ; Middle Aged ; Aged ; Female ; Cohort Studies ; Tomography, X-Ray Computed/methods* ; Brain Injuries, Traumatic/diagnosis* ; Brain Injuries ; Prognosis ; Glasgow Coma Scale ; Wounds, Nonpenetrating/diagnostic imaging* ; Brain

Objective: To analyze the correlation of bispectral index (BIS) with the prognosis of patients with acute severe carbon monoxide poisoning (ASCMP) and its predictive value of adverse outcomes. Methods: In March 2021, 106 ASCMP patients who were treated in Harrison International Peace Hospital Affiliated to Hebei Medical University from January 2019 to December 2020 were taken as research objects. All patients underwent 24-hour BIS monitoring after admission, and were divided into good prognosis group (n=75) and poor prognosis group (n=31) according to the prognosis of the patients' cranial nerve function after 60 d. The general conditions, Acute Physiology and Chronic Health Evaluation Ⅱ (APACHEⅡ) score, Glasgow Coma Scale (GCS) score at admission and 24-hour BIS mean were compared between the two groups. Pearson correlation analysis was used to analyze the correlations between the 24-hour BIS mean and GCS score at admission, APACHEⅡ score and coma time. The receiver operating characteristic (ROC) curve was drawn to analyze the predictive value of 24-hour BIS mean, GCS score at admission, APACHEⅡ score and coma time on adverse outcome of ASCMP patients. Results: The coma time and APACHEⅡ score of the patients in the poor prognosis group were significantly higher than those in the good prognosis group, the GCS score at admission and 24-hour BIS mean were significantly lower than those in the good prognosis group (P<0.05) . Pearson correlation analysis showed that the 24-hour BIS mean was positively correlated with the GCS score at admission, and negatively correlated with the APACHEⅡ score, coma time (r=0.675, -0.700, -0.565, P<0.001) . The 24-hour BIS mean had the highest predictive value for adverse outcome of ASCMP patients, with a cut-off value of 74, the area under the curve was 0.883 (95%CI: 0.814-0.951, P<0.001) , and the sensitivity and specificity were 73.3% and 87.1%, respectively. Conclusion: The 24-hour BIS mean has a good correlation with the acute brain nerve injury, the severity of the disease and coma time of patients with ASCMP. And it has a high predictive value for the adverse outcome in patients with ASCMP.
APACHE ; Brain Injuries ; Carbon Monoxide Poisoning/diagnosis* ; Coma ; Humans ; Prognosis ; ROC Curve ; Retrospective Studies ; Sensitivity and Specificity

Hyperammonemia can be caused by several genetic inborn errors of metabolism including urea cycle defects, organic acidemias, fatty acid oxidation defects, and certain disorders of amino acid metabolism. High levels of ammonia are extremely neurotoxic, leading to astrocyte swelling, brain edema, coma, severe disability, and even death. Thus, emergency treatment for hyperammonemia must be initiated before a precise diagnosis is established. In neonates with hyperammonemia caused by an inborn error of metabolism, a few studies have suggested that peritoneal dialysis, intermittent hemodialysis, and continuous renal replacement therapy (RRT) are effective modalities for decreasing the plasma level of ammonia. In this review, we discuss the current literature related to the use of RRT for treating neonates with hyperammonemia caused by an inborn error of metabolism, including optimal prescriptions, prognosis, and outcomes. We also review the literature on new technologies and instrumentation for RRT in neonates
Ammonia ; Astrocytes ; Brain Edema ; Coma ; Diagnosis ; Edema ; Emergency Treatment ; Humans ; Hyperammonemia ; Infant, Newborn ; Metabolism ; Metabolism, Inborn Errors ; Peritoneal Dialysis ; Plasma ; Prescriptions ; Prognosis ; Renal Dialysis ; Renal Replacement Therapy ; Urea

In brain death state, bilateral pupil light reflexes are disappeared, and pupils are fixed with dilated. However, spontaneous movements such as ocular microtremor or bilateral cyclical constriction-dilatation of pupils have been rarely reported in brain death patients. We present a brain death patient whose right pupil displayed spontaneously repetitive constriction and dilatation regardless of external stimuli such as light and pain. Early recognition of this phenomenon may prohibit the delay in the diagnosis of brain death and organ transplantation.
Brain Death ; Brain ; Coma ; Constriction ; Diagnosis ; Dilatation ; Humans ; Organ Transplantation ; Pupil ; Reflex ; Transplants

Susceptibility-weighted imaging (SWI) is a magnetic resonance imaging (MRI) sequence used for evaluating traumatic brain injury (TBI). Although SWI is being increasingly used in veterinary medicine, there are no systematic studies regarding its use. We aimed to evaluate TBI lesions by using conventional MRI and SWI in 11 dogs and determine the correlation between clinical status and conventional MRI or SWI findings. The modified Glasgow coma scale (MGCS) at presentation and a previously used MRI grading system (MRGr; grades 1–6) were used to evaluate the brain lesions, and correlations between MGCS score and each MRGr were assessed. Conventional MRI revealed 23 lesions in 11 dogs with variable MGCS scores (range: 11–17). SWI showed comparable findings for all of the lesions except for subdural hemorrhage, and it revealed additional lesions in four dogs. The median MRGr was 2 on both conventional MRI and SWI. The MRGr of the conventional MRI assessments and the MGCS scores showed a significant negative correlation (r = −0.685). In conclusion, SWI had better TBI lesion-detection ability, but conventional MRI had a better correlation with early clinical status and subdural hemorrhage. Thus, a combination of conventional MRI and SWI examinations can improve TBI diagnosis in dogs.
Animals ; Brain ; Brain Injuries ; Diagnosis ; Dogs ; Glasgow Coma Scale ; Hematoma, Subdural ; Magnetic Resonance Imaging ; Veterinary Medicine

OBJECTIVE: Although traumatic brain injury (TBI) occurs in people of all age groups, the elderly population is at a particular risk. The proportion of elderly population in the society is markedly increasing and Korea is one of the most rapidly aging societies. Here, we analyzed the data from 904 patients older over 65 years who were registered in the Korean Neuro-Trauma Data Bank System (KNTDBS).METHODS: The Korean Society of Neurotraumatology recorded data from 20 institutions between September 2010 and March 2014. This retrospective study examined the clinical epidemiology, sex difference, outcome epidemiology, sociodemographic variables, and outcomes in the geriatric population related to TBI based on data from the KNTDBS.RESULTS: The study included 540 men and 364 women. The age distributions in the male and female groups were statistically significantly different. The most common cause of trauma was a fall and diagnosis was acute subdural hematoma. The incidence was the highest in men aged 80–84 years and in women aged 75–79 years. The most common time of arrival to hospital after TBI was within 1 hour and 119 rescue team provided first aid earliest to patients with TBI. The mortality rate stratified according to the cause of trauma was significantly different, with mortality rates of 3.77% in fall and 11.65% in traffic accident. The mortality rates according the severity of brain injury, Glasgow Coma Scale score, and treatment were statistically significant.CONCLUSION: To our knowledge, this study is the first to focus on elderly patients with TBI in Korea and particularly investigate mortality and characteristics related to TBI-related death based on data from the KNTDBS. Although the study has some limitations, our results may be used to obtain useful information to study targeted prevention and more effective treatment options for older TBI patients and establish novel treatment guidelines and health polish for the geriatric population.
Accidents, Traffic ; Age Distribution ; Aged ; Aging ; Brain Injuries ; Diagnosis ; Epidemiology ; Female ; First Aid ; Glasgow Coma Scale ; Hematoma, Subdural, Acute ; Humans ; Incidence ; Korea ; Male ; Mortality ; Retrospective Studies ; Sex Characteristics

BACKGROUND: Hyperglycemic crisis is a metabolic emergency associated with diabetes mellitus. However, accurate epidemiologic information on cases of hyperglycemic crisis in Korea remains scarce. We evaluated trends in hyperglycemic crisis hospitalizations and in- and out-of-hospital mortality in Korea. We also predicted future trends. METHODS: We extracted claims data with hyperglycemic crisis as the principal diagnosis from the National Health Insurance Service database in Korea from January 2004 to December 2013. We investigated the numbers of claims with hyperglycemic crisis and identified trends in hyperglycemic crisis based on those claims data. We predicted future trends by statistical estimation. RESULTS: The total annual number of claims of hyperglycemic crisis increased from 2,674 in 2004 to 5,540 in 2013. Statistical analysis revealed an increasing trend in hyperglycemic crisis hospitalizations (P for trend <0.01). In contrast, the hospitalization rate per 1,000 diabetes cases showed a decreasing trend (P for trend <0.01) during this period. The mortality rate per 1,000 diabetes cases also showed a decreasing trend (P for trend <0.0001). However, no distinct linear trend in the case-related fatality rate at <60 days over the last decade was observed. The predicted number of annual claims of hyperglycemic crisis will increase by 2030. CONCLUSION: The number of hyperglycemic crisis hospitalizations in Korea increased in the last decade, although the hospitalization rate per 1,000 diabetes cases and mortality rate decreased. Also, the predicted number of annual claims will increase in the future. Thus, it is necessary to establish long-term healthcare policies to prevent hyperglycemic crisis.
Delivery of Health Care ; Diabetes Mellitus ; Diabetic Ketoacidosis ; Diagnosis ; Emergencies ; Epidemiology ; Hospitalization ; Hyperglycemic Hyperosmolar Nonketotic Coma ; Korea ; Mortality ; National Health Programs

BackgroundWhether the Glasgow Coma Scale (GCS) can assess intubated patients is still a topic of controversy. We compared the test performance of the GCS motor component (GCS-M)/Simplified Motor Score (SMS) to the total of the GCS in predicting the outcomes of intubated acute severe cerebral vascular disease patients.

MethodsA retrospective analysis of prospectively collected observational data was performed. Between January 2012 and October 2015, 106 consecutive acute severe cerebral vascular disease patients with intubation were included in the study. GCS, GCS-M, GCS eye-opening component, and SMS were documented on admission and at 24, 48, and 72 h after admission to Neurointensive Care Unit (NCU). Outcomes were death and unfavorable prognosis (modified Rankin Scale: 5-6) at NCU discharge. The receiver operating characteristic (ROC) curve was obtained to determine the prognostic performance and best cutoff value for each scoring system. Comparison of the area under the ROC curves (AUCs) was performed using the Z- test.

ResultsOf 106 patients included in the study, 41 (38.7%) patients died, and 69 (65.1%) patients had poor prognosis when discharged from NCU. The four time points within 72 h of admission to the NCU were equivalent for each scale's predictive power, except that 0 h was the best for each scale in predicting outcomes of patients with right-hemisphere lesions. Nonsignificant difference was found between GCS-M AUCs and GCS AUCs in predicting death at 0 h (0.721 vs. 0.717, Z = 0.135, P = 0.893) and 72 h (0.730 vs. 0.765, Z = 1.887, P = 0.060), in predicting poor prognosis at 0 h (0.827 vs. 0.819, Z = 0.395, P = 0.693), 24 h (0.771 vs. 0.760, Z = 0.944, P = 0.345), 48 h (0.732 vs. 0.741, Z = 0.593, P = 0.590), and 72 h (0.775 vs. 0.780, Z = 0.302, P = 0.763). AUCs in predicting death for patients with left-hemisphere lesions ranged from 0.700 to 0.804 for GCS-M and from 0.700 to 0.824 for GCS, in predicting poor prognosis ranged from 0.841 to 0.969 for GCS-M and from 0.875 to 0.969 for GCS, with no significant difference between GCS-M AUCs and GCS AUCs within 72 h (P > 0.05). No significant difference between GCS-M AUCs and GCS AUCs was found in predicting death (0.964 vs. 0.964, P = 1.000) and poor prognosis (1.000 vs. 1.000, P = 1.000) for patients with right-hemisphere lesions at 0 h. AUCs in predicting death for patients with brainstem or cerebella were poor for GCS-M (<0.700), in predicting poor prognosis ranged from 0.727 to 0.801 for GCS-M and from 0.704 to 0.820 for GCS, with no significant difference between GCS-M AUCs and GCS AUCs within 72 h (P > 0.05). The SMS AUCs (<0.700) in predicting outcomes were poor.

ConclusionsThe GCS-M approaches the same test performance as the GCS in assessing the prognosis of intubated acute severe cerebral vascular disease patients. The GCS-M could be accurately and reliably applied in patients with hemisphere lesions, but caution must be taken for patients with brainstem or cerebella lesions.

Adolescent ; Adult ; Coma ; diagnosis ; etiology ; Glasgow Coma Scale ; Humans ; Intubation, Intratracheal ; Prognosis ; Retrospective Studies ; Stroke ; complications