The entrapment of intracranial air from the check valve system results in a tension pneumocephalus. It should be distinguished from simple pneumocephalus because they are intracranial space-occupying masses that can threaten life. Communicating hydrocephalus is a serious and frequent complication of post-traumatic head injury. Head injury is one of the most common causes in etiopathogenesis of communicating hydrocephalus. Here, we describe a case of a 65-year-old man who developed communicating hydrocephalus after a post-traumatic tension pneumocephalus. To the best of our knowledge, this is the first reported case of communicating hydrocephalus developed after a post-traumatic tension pneumocephalus. Although the exact pathogenic mechanisms underlying the cascade following trauma remain unclear, communicating hydrocephalus after a tension pneumocephalus could be considered a possible complication.
Aged ; Craniocerebral Trauma ; Humans ; Hydrocephalus* ; Pneumocephalus*

PURPOSE: Many doctors have difficulty in deciding the treatment duration in trauma patients to write in the casualty medical certificate. We tried to find a solution for this problem by using abbreviated injury scale (AIS). METHODS: A total of 39 patients treated in our regional trauma center who requested an author to write treatment duration on casualty medical certificate from January 2014 to April 2017 were included. And the treatment duration was decided based on the PARK Formula (AIS). PARK Formula (AIS)=(AIS×2) ~ ([AIS×2]+2) RESULTS: Among 39 patients included and 36 (92.3%) had treatment duration on casualty medical certificate within the range of treatment duration calculated by PARK Formula (AIS). Compared to the PARK Formula (AIS), the mean value was 0.13 week (0.90 day) smaller. Comparing the treatment duration between Korean Medical Association (KMA) guideline and PARK Formula (AIS), only 22 patients (56.4%) showed agreement. The mean value was 1.02 week (7.18 days) smaller in KMA guideline. CONCLUSIONS For the decision of the treatment duration in trauma patients, utilizing worldwide used AIS scoring system is very efficient. Using PARK Formula (AIS), doctors can document the treatment duration in the casualty medical certificate with ease. KMA should provide more practical ‘treatment duration of each diagnosis in writing casualty medial certificate’ for the doctors. We recommend PARK Formula (AIS) as a good alternative for KMA guide.

OBJECTIVE: To investigate factors associated with enrollment and participation in cardiac rehabilitation (CR) in Korea. METHODS: Patients admitted to four university hospitals with acute coronary syndrome between June 2014 and May 2016 were enrolled. The Cardiac Rehabilitation Barriers Scale (CRBS) made of 21-item questionnaire and divided in four subdomains was administered during admission. CRBS items used a 5-point Likert scale and ≥2.5 was considered as a barrier. Differences between CR non-attender and CR attender, or CR non-enroller and CR enroller in subscale and each items of CRBS were examined using the chi-square test. RESULTS: The CR participation rate in four hospitals was 31% (170 of the 552). Logistical factors (odds ratio [OR]=7.61; 95% confidence interval [CI], 4.62–12.55) and comorbidities/functional status (OR=6.60; 95% CI, 3.95–11.01) were identified as a barrier to CR enrollment in the subdomain analysis. Among patients who were enrolled (agreed to participate in CR during admission), only work/time conflict was a significant barrier to CR participation (OR=2.17; 95% CI, 1.29–3.66). CONCLUSION: Diverse barriers to CR participation were identified in patients with acute coronary syndrome. Providing the tailored model for CR according to the individual patient's barrier could improve the CR utilization. Further multicenter study with large sample size including other CR indication is required.
Acute Coronary Syndrome ; Exercise Therapy ; Hospitals, University ; Humans ; Korea ; Outpatients ; Patient Participation ; Rehabilitation ; Sample Size ; Secondary Prevention

The second affiliation of the author, Sora Baek, was not added in the article.

PURPOSE: Splicing factors play important roles in tumorigenesis. Serine/arginine-rich splicing factors 2 (SRSF2) and SRSF4 proteins, the members of SR family proteins, are dysregulated in various cancers. However, their protein expression levels and diagnostic values are unclear in colorectal cancer.METHODS: We quantified the protein levels of SRSF2, SRSF4, and previously known colon cancer markers (heterogeneous nuclear ribonucleoprotein A1 [HNRNPA1] and carcinoembryonic antigen [CEA]) in tumor compared with adjacent normal-looking areas (non-tumor) of the colon in Korean patients with colon cancer using immunoblot analysis.RESULTS: The protein levels of HNRNPA1 and CEA were remarkably increased in tumor compared to non-tumor tissue and up-regulated in all of the tumor samples. However, the protein levels of SRSF2 and SRSF4 in tumor tissue were reduced in contrast with those of non-tumor tissue.CONCLUSION: None of the SRSF proteins were significantly different between the low (≤II) and high (>II) stages.
Carcinoembryonic Antigen ; Carcinogenesis ; Colon ; Colonic Neoplasms ; Colorectal Neoplasms ; Humans ; Ribonucleoproteins

Animals ; Cats ; Diagnostic Tests, Routine ; Hemorrhage ; Humans ; Injury Severity Score ; Mortality ; Odds Ratio ; Resuscitation ; ROC Curve ; Sensitivity and Specificity

Quantification of tyrosine hydroxylase (TH)-positive neurons is essential for the preclinical study of Parkinson’s disease (PD). However, manual analysis of immunohistochemical (IHC) images is labor-intensive and has less reproducibility due to the lack of objectivity. Therefore, several automated methods of IHC image analysis have been proposed, although they have limitations of low accuracy and difficulties in practical use. Here, we developed a convolutional neural network-based machine learning algorithm for TH+ cell counting. The developed analytical tool showed higher accuracy than the conventional methods and could be used under diverse experimental conditions of image staining intensity, brightness, and contrast. Our automated cell detection algorithm is available for free and has an intelligible graphical user interface for cell counting to assist practical applications. Overall, we expect that the proposed TH+ cell counting tool will promote preclinical PD research by saving time and enabling objective analysis of IHC images.

OBJECTIVE: A widely applicable, non-invasive screening method for non-alcoholic fatty liver disease (NAFLD) is needed. We aimed to develop and validate an index combining computed tomography (CT) and routine clinical data for screening for NAFLD in a large cohort of adults with pathologically proven NAFLD.MATERIALS AND METHODS: This retrospective study included 2218 living liver donors who had undergone liver biopsy and CT within a span of 3 days. Donors were randomized 2:1 into development and test cohorts. CT(L-S) was measured by subtracting splenic attenuation from hepatic attenuation on non-enhanced CT. Multivariable logistic regression analysis of the development cohort was utilized to develop a clinical-CT index predicting pathologically proven NAFLD. The diagnostic performance was evaluated by analyzing the areas under the receiver operating characteristic curve (AUC). The cutoffs for the clinical-CT index were determined for 90% sensitivity and 90% specificity in the development cohort, and their diagnostic performance was evaluated in the test cohort.RESULTS: The clinical-CT index included CT(L-S), body mass index, and aspartate transaminase and triglyceride concentrations. In the test cohort, the clinical-CT index (AUC, 0.81) outperformed CT(L-S) (0.74; p < 0.001) and clinical indices (0.73–0.75; p < 0.001) in diagnosing NAFLD. A cutoff of ≥ 46 had a sensitivity of 89% and a specificity of 41%, whereas a cutoff of ≥ 56.5 had a sensitivity of 57% and a specificity of 89%.CONCLUSION: The clinical-CT index is more accurate than CT(L-S) and clinical indices alone for the diagnosis of NAFLD and may be clinically useful in screening for NAFLD.

Objectives: To describe and evaluate epidemiological investigation results and containment measures implemented in Busan, where 108 cases were confirmed with coronavirus disease 2019 (COVID-19) between February 21, 2020 and March 24, 2020. Methods: Any individual who tested positive for COVID-19 was classified as a confirmed case. Measures were taken to identify the source of infection and trace and quarantine contacts. Serial intervals were estimated and the effective reproduction number was computed. Results: Of the total 18,303 COVID-19 tests performed between January 16, 2020 and March 24, 2020 in Busan, 108 yielded positive results (positive test rate, 0.6%). All confirmed cases were placed in isolation at hospitals. Of the 108 confirmed cases, 59 (54.6%) were female. The most common age group was 20-29 years with 37 cases (34.3%). Regarding symptoms at the time of diagnosis, cough (n=38, 35.2%) and fever (n=34, 31.5%) were most common; 12 cases (11.1%) were asymptomatic. The source of infection was identified in 99 cases (91.7%). A total of 3,223 contacts were identified and quarantined. Household contacts accounted for 196, and the household secondary attack rate was 8.2% (95% confidence interval [CI], 4.7 to 12.9). The mean serial interval was estimated to be 5.54 days (95% CI, 4.08 to 7.01). After February 26, (Rt) remained below 1 in Busan. Conclusions The early containment strategy implemented in Busan shows that control is possible if outbreaks are of limited scope. In preparation for future outbreaks, public health and healthcare systems should be re-examined and put in a ready state.

Objectives: To describe and evaluate epidemiological investigation results and containment measures implemented in Busan, where 108 cases were confirmed with coronavirus disease 2019 (COVID-19) between February 21, 2020 and March 24, 2020. Methods: Any individual who tested positive for COVID-19 was classified as a confirmed case. Measures were taken to identify the source of infection and trace and quarantine contacts. Serial intervals were estimated and the effective reproduction number was computed. Results: Of the total 18,303 COVID-19 tests performed between January 16, 2020 and March 24, 2020 in Busan, 108 yielded positive results (positive test rate, 0.6%). All confirmed cases were placed in isolation at hospitals. Of the 108 confirmed cases, 59 (54.6%) were female. The most common age group was 20-29 years with 37 cases (34.3%). Regarding symptoms at the time of diagnosis, cough (n=38, 35.2%) and fever (n=34, 31.5%) were most common; 12 cases (11.1%) were asymptomatic. The source of infection was identified in 99 cases (91.7%). A total of 3,223 contacts were identified and quarantined. Household contacts accounted for 196, and the household secondary attack rate was 8.2% (95% confidence interval [CI], 4.7 to 12.9). The mean serial interval was estimated to be 5.54 days (95% CI, 4.08 to 7.01). After February 26, (Rt) remained below 1 in Busan. Conclusions The early containment strategy implemented in Busan shows that control is possible if outbreaks are of limited scope. In preparation for future outbreaks, public health and healthcare systems should be re-examined and put in a ready state.