Background: Sarcopenia, a multifactorial disorder involving metabolic disturbance, suggests potential for metabolite biomarkers. Carnitine (CN), essential for skeletal muscle energy metabolism, may be a candidate biomarker. We investigated whether CN metabolites are biomarkers for sarcopenia. Methods: Associations between the CN metabolites identified from an animal model of sarcopenia and muscle cells and sarcopenia status were evaluated in men from an age-matched discovery (72 cases, 72 controls) and a validation (21 cases, 47 controls) cohort. Results: An association between CN metabolites and sarcopenia showed in mouse and cell studies. In the discovery cohort, plasma C5-CN levels were lower in sarcopenic men (P=0.005). C5-CN levels in men tended to be associated with handgrip strength (HGS) (P=0.098) and were significantly associated with skeletal muscle mass (P=0.003). Each standard deviation increase in C5-CN levels reduced the odds of low muscle mass (odd ratio, 0.61; 95% confidence interval [CI], 0.42 to 0.89). The area under the receiver operating characteristic curve (AUROC) of CN score using a regression equation of C5-CN levels, for sarcopenia was 0.635 (95% CI, 0.544 to 0.726). In the discovery cohort, addition of CN score to HGS significantly improved AUROC from 0.646 (95% CI, 0.575 to 0.717; HGS only) to 0.727 (95% CI, 0.643 to 0.810; P=0.006; HGS+CN score). The improvement was confirmed in the validation cohort (AUROC=0.563; 95% CI, 0.470 to 0.656 for HGS; and AUROC=0.712; 95% CI, 0.569 to 0.855 for HGS+CN score; P=0.027). Conclusion C5-CN, indicative of low muscle mass, is a potential circulating biomarker for sarcopenia in men. Further studies are required to confirm these results and explore sarcopenia-related metabolomic changes.

Background: Sarcopenia, a multifactorial disorder involving metabolic disturbance, suggests potential for metabolite biomarkers. Carnitine (CN), essential for skeletal muscle energy metabolism, may be a candidate biomarker. We investigated whether CN metabolites are biomarkers for sarcopenia. Methods: Associations between the CN metabolites identified from an animal model of sarcopenia and muscle cells and sarcopenia status were evaluated in men from an age-matched discovery (72 cases, 72 controls) and a validation (21 cases, 47 controls) cohort. Results: An association between CN metabolites and sarcopenia showed in mouse and cell studies. In the discovery cohort, plasma C5-CN levels were lower in sarcopenic men (P=0.005). C5-CN levels in men tended to be associated with handgrip strength (HGS) (P=0.098) and were significantly associated with skeletal muscle mass (P=0.003). Each standard deviation increase in C5-CN levels reduced the odds of low muscle mass (odd ratio, 0.61; 95% confidence interval [CI], 0.42 to 0.89). The area under the receiver operating characteristic curve (AUROC) of CN score using a regression equation of C5-CN levels, for sarcopenia was 0.635 (95% CI, 0.544 to 0.726). In the discovery cohort, addition of CN score to HGS significantly improved AUROC from 0.646 (95% CI, 0.575 to 0.717; HGS only) to 0.727 (95% CI, 0.643 to 0.810; P=0.006; HGS+CN score). The improvement was confirmed in the validation cohort (AUROC=0.563; 95% CI, 0.470 to 0.656 for HGS; and AUROC=0.712; 95% CI, 0.569 to 0.855 for HGS+CN score; P=0.027). Conclusion C5-CN, indicative of low muscle mass, is a potential circulating biomarker for sarcopenia in men. Further studies are required to confirm these results and explore sarcopenia-related metabolomic changes.

Background: Sarcopenia, a multifactorial disorder involving metabolic disturbance, suggests potential for metabolite biomarkers. Carnitine (CN), essential for skeletal muscle energy metabolism, may be a candidate biomarker. We investigated whether CN metabolites are biomarkers for sarcopenia. Methods: Associations between the CN metabolites identified from an animal model of sarcopenia and muscle cells and sarcopenia status were evaluated in men from an age-matched discovery (72 cases, 72 controls) and a validation (21 cases, 47 controls) cohort. Results: An association between CN metabolites and sarcopenia showed in mouse and cell studies. In the discovery cohort, plasma C5-CN levels were lower in sarcopenic men (P=0.005). C5-CN levels in men tended to be associated with handgrip strength (HGS) (P=0.098) and were significantly associated with skeletal muscle mass (P=0.003). Each standard deviation increase in C5-CN levels reduced the odds of low muscle mass (odd ratio, 0.61; 95% confidence interval [CI], 0.42 to 0.89). The area under the receiver operating characteristic curve (AUROC) of CN score using a regression equation of C5-CN levels, for sarcopenia was 0.635 (95% CI, 0.544 to 0.726). In the discovery cohort, addition of CN score to HGS significantly improved AUROC from 0.646 (95% CI, 0.575 to 0.717; HGS only) to 0.727 (95% CI, 0.643 to 0.810; P=0.006; HGS+CN score). The improvement was confirmed in the validation cohort (AUROC=0.563; 95% CI, 0.470 to 0.656 for HGS; and AUROC=0.712; 95% CI, 0.569 to 0.855 for HGS+CN score; P=0.027). Conclusion C5-CN, indicative of low muscle mass, is a potential circulating biomarker for sarcopenia in men. Further studies are required to confirm these results and explore sarcopenia-related metabolomic changes.

Background: Sarcopenia, a multifactorial disorder involving metabolic disturbance, suggests potential for metabolite biomarkers. Carnitine (CN), essential for skeletal muscle energy metabolism, may be a candidate biomarker. We investigated whether CN metabolites are biomarkers for sarcopenia. Methods: Associations between the CN metabolites identified from an animal model of sarcopenia and muscle cells and sarcopenia status were evaluated in men from an age-matched discovery (72 cases, 72 controls) and a validation (21 cases, 47 controls) cohort. Results: An association between CN metabolites and sarcopenia showed in mouse and cell studies. In the discovery cohort, plasma C5-CN levels were lower in sarcopenic men (P=0.005). C5-CN levels in men tended to be associated with handgrip strength (HGS) (P=0.098) and were significantly associated with skeletal muscle mass (P=0.003). Each standard deviation increase in C5-CN levels reduced the odds of low muscle mass (odd ratio, 0.61; 95% confidence interval [CI], 0.42 to 0.89). The area under the receiver operating characteristic curve (AUROC) of CN score using a regression equation of C5-CN levels, for sarcopenia was 0.635 (95% CI, 0.544 to 0.726). In the discovery cohort, addition of CN score to HGS significantly improved AUROC from 0.646 (95% CI, 0.575 to 0.717; HGS only) to 0.727 (95% CI, 0.643 to 0.810; P=0.006; HGS+CN score). The improvement was confirmed in the validation cohort (AUROC=0.563; 95% CI, 0.470 to 0.656 for HGS; and AUROC=0.712; 95% CI, 0.569 to 0.855 for HGS+CN score; P=0.027). Conclusion C5-CN, indicative of low muscle mass, is a potential circulating biomarker for sarcopenia in men. Further studies are required to confirm these results and explore sarcopenia-related metabolomic changes.

Background: and Purpose The accurate prediction of functional outcomes in patients with acute ischemic stroke (AIS) is crucial for informed clinical decision-making and optimal resource utilization. As such, this study aimed to construct an ensemble deep learning model that integrates multimodal imaging and clinical data to predict the 90-day functional outcomes after AIS. Methods: We used data from the Korean Stroke Neuroimaging Initiative database, a prospective multicenter stroke registry to construct an ensemble model integrated individual 3D convolutional neural networks for diffusion-weighted imaging and fluid-attenuated inversion recovery (FLAIR), along with a deep neural network for clinical data, to predict 90-day functional independence after AIS using a modified Rankin Scale (mRS) of 3–6. To evaluate the performance of the ensemble model, we compared the area under the curve (AUC) of the proposed method with that of individual models trained on each modality to identify patients with AIS with an mRS score of 3–6. Results: Of the 2,606 patients with AIS, 993 (38.1%) achieved an mRS score of 3–6 at 90 days post-stroke. Our model achieved AUC values of 0.830 (standard cross-validation [CV]) and 0.779 (time-based CV), which significantly outperformed the other models relying on single modalities: b-value of 1,000 s/mm2 (P<0.001), apparent diffusion coefficient map (P<0.001), FLAIR (P<0.001), and clinical data (P=0.004). Conclusion The integration of multimodal imaging and clinical data resulted in superior prediction of the 90-day functional outcomes in AIS patients compared to the use of a single data modality.

Background: Although rhythm control could be the best for symptomatic atrial fibrillation (AF), some patients fail to achieve sinus rhythm (SR). This study aimed to identify clinical risk factors of failed electrical cardioversion (ECV). Methods: A total of 248 patients who received ECV for persistent AF or atrial flutter (AFL) were retrospectivelyreviewed. Patients were divided into three groups: Group 1 maintained SR for > 1 year, group 2 maintained SR ≤ 1 yearafter ECV, and group 3 failed ECV. SR maintenance was assessed using regular electrocardiography or Holter monitoring. Results: Patients were divided into group 1 (73, 29%), group 2 (146, 59%), and group 3 (29, 12%). The mean ageof patients was 60 ± 10 years, and 197 (79%) were male. Age, sex, and baseline characteristics were similar amonggroups. However, increased cardiac size, digoxin use, heart failure (HF), and decreased left ventricular ejection frac‑ tion (LVEF) were more common in group 3. Univariate analysis of clinical risk factors for failed ECV was increasedcardiac size [hazard ratio (HR) 2.14 (95% confidence interval [CI], 1.06–4.34, p = 0.030)], digoxin use [HR 2.66 (95% CI, 1.15–6.14), p = 0.027], HF [HR 2.60 (95% CI, 1.32–5.09), p = 0.005], LVEF < 40% [HR 3.45 (95% CI, 1.00–11.85), p = 0.038], and decreased LVEF [HR 2.49 (95% CI, 1.18–5.25), p = 0.012]. Among them, HF showed clinical significance only by multivariate analysis [HR 3.01 (95% CI, 1.13–7.99), p = 0.027]. Conclusions Increased cardiac size, digoxin use, HF, LVEF < 40%, and decreased LVEF were related to failed ECV for persistent AF or AFL. Among these, HF was the most important risk factor. Further multi-center studies including greater number of participants are planned.

Objective: Unlike common acute urinary tract infections, obstructive urinary tract infections caused by urinary calculus can be fatal because they can progress to sepsis and cause shock or disseminated intravascular coagulation. The evidence of patients with obstructive urinary tract infections caused by urinary tract stones visiting the emergency center is still lacking. Methods: Seventy-seven patients who visited the emergency room with obstructive urinary tract infections caused by urinary calculus from January 2016 to December 2018 were enrolled in this study and divided into two groups: sepsis group and non-sepsis group. Results: The lymphocyte count, platelet count, neutrophil-lymphocyte ratio, serum creatinine, and C-reactive protein were significantly different in the sepsis-positive and negative groups. Percutaneous nephrostomy was also significantly higher in the sepsis-positive group. The area under the receiver operating characteristic curve was calculated to evaluate the ability of the neutrophil-lymphocyte ratio and platelet-lymphocyte ratio to predict a septic urinary tract infection. The neutrophil-lymphocyte ratio and platelet-lymphocyte ratio were 0.659 and 0.550, respectively. Multivariate logistic regression analysis showed that diabetic patients, percutaneous nephrostomy, and serum creatinine were associated with septic obstructive urinary tract infection. Conclusion In patients with an obstructive urinary tract infection who were referred to the emergency center, diabetic patients and those with high blood urea nitrogen and creatinine levels are at high risk of sepsis. In such cases, rapid diagnosis and treatment, such as percutaneous nephrostomy, are necessary.

OBJECTIVE: Syncope is mostly benign, but it can also be caused by a life-threatening situation. In Korea, no studies have investigated application of the Canadian Syncope Risk Score (CSRS) to patients with syncope; therefore, this study was started to evaluate the usefulness of CSRS. METHODS: A total of 222 patients who visited the emergency room with syncope for one year from January 2016 to December 2016 were enrolled in this study. Patients were divided into two groups, a serious adverse events (SAE) group and a non-serious adverse events group. The scores of the nine CSRS variables were added and the CSRS was then calculated after the addition. RESULTS: The CSRS score for patients with SAE ranged from 0 to 8. The CSRS score was 18.6%, 31.7%, 55.6%, and 58.8% for 0, 1, 2, and 3, respectively. In the case of CSRS 0 and 1, 17 patients (81.0%) and 11 patients (84.6%) were non-cardiac. In the case of CSRS 2, 7 were non-cardiac (70.0%). In the case of CSRS 3, 6 cases (60.0%) were cardiogenic and 4 cases (40.0%) were non-cardiogenic. The area under the receiver operating characteristic curve of CSRS to predict SAE was 0.71. Setting the CSRS cutoff value to 0, we found that sensitivity and specificity of predicting SAE was 67.19% and 67.09%, respectively. CONCLUSION: CSRS may be difficult to predict for acute intracranial disease or acute hemorrhagic disease requiring transfusion; therefore, it is necessary to supplement it further.
Emergencies* ; Emergency Service, Hospital ; Humans ; Korea* ; Risk Factors ; ROC Curve ; Sensitivity and Specificity ; Syncope*

BACKGROUND: Mutations in calreticulin (CALR) have been reported to be key markers in the molecular diagnosis of myeloid proliferative neoplasms. In most previous reports, CALR mutations were analyzed by using Sanger sequencing. Here, we report a new, rapid, and convenient system for screening CALR mutations without sequencing. METHODS: Eighty-three bone marrow samples were obtained from 81 patients with thrombocytosis. PCR primers were designed to detect wild-type CALR (product: 357 bp) and CALR with type 1 (product: 302 bp) and type 2 mutations (product: 272 bp) in one reaction. The results were confirmed by Sanger sequencing and compared with results from fragment analysis. RESULTS: The minimum detection limit of the screening PCR was 10 ng for type 1, 1 ng for type 2, and 0.1 ng for cases with both mutations. CALR type 1 and type 2 mutants were detected with screening PCR with a maximal analytical sensitivity of 3.2% and <0.8%, respectively. The screening PCR detected 94.1% (16/17) of mutation cases and showed concordant results with sequencing in the cases of type 1 and type 2 mutations. Sanger sequencing identified one novel mutation (c.1123_1132delinsTGC). Compared with sequencing, the screening PCR showed 94.1% sensitivity, 100.0% specificity, 100.0% positive predictive value, and 98.5% negative predictive value. Compared with fragment analysis, the screening PCR presented 88.9% sensitivity and 100.0% specificity. CONCLUSIONS: This screening PCR is a rapid, sensitive, and cost-effective method for the detection of major CALR mutations.
Adult ; Aged ; Base Sequence ; Bone Marrow/metabolism ; Calreticulin/chemistry/*genetics/metabolism ; DNA Mutational Analysis ; Female ; Follow-Up Studies ; Genotype ; Humans ; Janus Kinase 2/chemistry/genetics/metabolism ; Male ; Middle Aged ; Mutation ; Myeloproliferative Disorders/complications/*diagnosis/genetics ; Polymerase Chain Reaction ; Thrombocytosis/complications/*diagnosis

PURPOSE: In patients with altered mentality caused by drugs or unknown causes, ammonia is checked to facilitate differential diagnosis or diagnose hepatic coma. This helps early prevention and treatment of brain damage due to hyperammonemia. This study was conducted to evaluate clinical characteristics of intoxicated adult patients with hyperammonemia. METHODS: We evaluated 95 patients with hyperammonemia among intoxicated patients above the age of 15 who visited our ED from January 2013 to December 2015. We analyzed the demographic characteristics and type of poisoning substance, reason for ingestion, toxicological characteristics such as elapsed time from ingestion to hospital visit, lab, clinical progression and complications. Data were evaluated using the student's t test or Mann-Whitney U test for continuous variables, and Chi-square test and Fisher's exact test for frequency analysis of categorical variables. RESULTS: When compared to healthy individuals, patients with hyperammonemia showed statistical significance on their SOFA score (p=0.016) and poison severity score (p<0.001). Additionally, patients with hyperammonemia showed significantly different initial serum AST level (p=0.012) and maximum serum AST level during the hospital stay (p=0.026) when compared to healthy individuals. Moreover, individuals with sustained hyperammonemia compared to transient hyperammonemia showed clinically significant SOFA scores (p<0.001), poison severity scores (p=0.007), mortality rates in the ICU (p=0.021), as well as different duration of hospital stay (p=0.037), serum creatinine level (p=0.002), erythrocyte sedimentation rate (p=0.025), and serum myoglobin (p=0.015). CONCLUSION: Most poisoning-induced hyperammonemia cases were transient and recovered without special treatment. Therefore, hyperammonemia is almost non-specific among poisoning patients.
Adult ; Ammonia ; Blood Sedimentation ; Brain ; Creatinine ; Diagnosis, Differential ; Eating ; Hepatic Encephalopathy ; Humans ; Hyperammonemia* ; Length of Stay ; Mortality ; Myoglobin ; Poisoning