Identifying Atrial Fibrillation With Sinus Rhythm Electrocardiogram in Embolic Stroke of Undetermined Source: A Validation Study With Insertable Cardiac Monitors

Background and Objectives@#Paroxysmal atrial fibrillation (AF) is a major potential cause of embolic stroke of undetermined source (ESUS). However, identifying AF remains challenging because it occurs sporadically. Deep learning could be used to identify hidden AF based on the sinus rhythm (SR) electrocardiogram (ECG). We combined known AF risk factors and developed a deep learning algorithm (DLA) for predicting AF to optimize diagnostic performance in ESUS patients. @*Methods@#A DLA was developed to identify AF using SR 12-lead ECG with the database consisting of AF patients and non-AF patients. The accuracy of the DLA was validated in 221 ESUS patients who underwent insertable cardiac monitor (ICM) insertion to identify AF. @*Results@#A total of 44,085 ECGs from 12,666 patient were used for developing the DLA. The internal validation of the DLA revealed 0.862 (95% confidence interval, 0.850–0.873) area under the curve (AUC) in the receiver operating curve analysis. In external validation data from 221 ESUS patients, the diagnostic accuracy of DLA and AUC were 0.811 and 0.827, respectively, and DLA outperformed conventional predictive models, including CHARGE-AF,C2HEST, and HATCH. The combined model, comprising atrial ectopic burden, left atrial diameter and the DLA, showed excellent performance in AF prediction with AUC of 0.906. @*Conclusions@#The DLA accurately identified paroxysmal AF using 12-lead SR ECG in patients with ESUS and outperformed the conventional models. The DLA model along with the traditional AF risk factors could be a useful tool to identify paroxysmal AF in ESUS patients.

A simple and novel equation to estimate the degree of bleeding in haemorrhagic shock: mathematical derivation and preliminary in vivo validation

Determining blood loss [100% – RBV (%)] is challenging in the management of haemorrhagic shock. We derived an equation estimating RBV (%) via serial haematocrits (Hct1 , Hct2 ) by fixing infused crystalloid fluid volume (N) as [0.015 × body weight (g)]. Then, we validated it in vivo. Mathematically, the following estimation equation was derived: RBV (%) = 24k / [(Hct1 / Hct2 ) – 1]. For validation, nonongoing haemorrhagic shock was induced in Sprague–Dawley rats by withdrawing 20.0%–60.0% of their total blood volume (TBV) in 5.0% intervals (n = 9). Hct1 was checked after 10 min and normal saline N cc was infused over 10 min. Hct 2 was checked five minutes later. We applied a linear equation to explain RBV (%) with 1 / [(Hct1 / Hct2 ) – 1]. Seven rats losing 30.0%–60.0% of their TBV suffered shock persistently. For them, RBV (%) was updated as 5.67 / [(Hct1 / Hct2 ) – 1] + 32.8 (95% confidence interval [CI] of the slope: 3.14–8.21, p = 0.002, R2 = 0.87). On a Bland-Altman plot, the difference between the estimated and actual RBV was 0.00 ± 4.03%; the 95% CIs of the limits of agreements were included within the pre-determined criterion of validation (< 20%). For rats suffering from persistent, non-ongoing haemorrhagic shock, we derived and validated a simple equation estimating RBV (%). This enables the calculation of blood loss via information on serial haematocrits under a fixed N.Clinical validation is required before utilisation for emergency care of haemorrhagic shock.

Quick Sequential Organ Failure Assessment Score and the Modified Early Warning Score for Predicting Clinical Deterioration in General Ward Patients Regardless of Suspected Infection

Background@#The quick sequential organ failure assessment (qSOFA) score is suggested to use for screening patients with a high risk of clinical deterioration in the general wards, which could simply be regarded as a general early warning score. However, comparison of unselected admissions to highlight the benefits of introducing qSOFA in hospitals already using Modified Early Warning Score (MEWS) remains unclear. We sought to compare qSOFA with MEWS for predicting clinical deterioration in general ward patients regardless of suspected infection. @*Methods@#The predictive performance of qSOFA and MEWS for in-hospital cardiac arrest (IHCA) or unexpected intensive care unit (ICU) transfer was compared with the areas under the receiver operating characteristic curve (AUC) analysis using the databases of vital signs collected from consecutive hospitalized adult patients over 12 months in five participating hospitals in Korea. @*Results@#Of 173,057 hospitalized patients included for analysis, 668 (0.39%) experienced the composite outcome. The discrimination for the composite outcome for MEWS (AUC, 0.777;95% confidence interval [CI], 0.770–0.781) was higher than that for qSOFA (AUC, 0.684;95% CI, 0.676–0.686; P < 0.001). In addition, MEWS was better for prediction of IHCA (AUC, 0.792; 95% CI, 0.781–0.795 vs. AUC, 0.640; 95% CI, 0.625–0.645; P < 0.001) and unexpected ICU transfer (AUC, 0.767; 95% CI, 0.760–0.773 vs. AUC, 0.716; 95% CI, 0.707–0.718; P < 0.001) than qSOFA. Using the MEWS at a cutoff of ≥ 5 would correctly reclassify 3.7% of patients from qSOFA score ≥ 2. Most patients met MEWS ≥ 5 criteria 13 hours before the composite outcome compared with 11 hours for qSOFA score ≥ 2. @*Conclusion@#MEWS is more accurate that qSOFA score for predicting IHCA or unexpected ICU transfer in patients outside the ICU. Our study suggests that qSOFA should not replace MEWS for identifying patients in the general wards at risk of poor outcome.

A case of delivery of a pregnant woman with COVID-19 infection in Daegu, Korea

Coronavirus disease 2019 (COVID-19) is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which is affiliated with the β-coronavirus subgroup, which includes SARS-CoV and Middle East respiratory syndrome coronavirus (MERS-CoV), but is far more infectious than the 2. Because it is potentially life-threatening to infants and pregnant women with weak immune systems, clinical manifestations and vertical transmission of COVID-19 are matters of interest. Staff of the obstetrics department of university hospitals in Daegu and of the Daegu metropolitan government designated Daegu Fatima Hospital for the delivery of pregnant women with suspected and confirmed SARS-CoV-2 infection. Thirteen pregnant women with laboratory-confirmed COVID-19 were identified. Among them was a 28-year-old pregnant woman who had recovered from COVID-19 and had given birth to a healthy girl at 38 weeks of gestational age. We present our uncommon experience with a brief review of literatures.

A case of delivery of a pregnant woman with COVID-19 infection in Daegu, Korea

Coronavirus disease 2019 (COVID-19) is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which is affiliated with the β-coronavirus subgroup, which includes SARS-CoV and Middle East respiratory syndrome coronavirus (MERS-CoV), but is far more infectious than the 2. Because it is potentially life-threatening to infants and pregnant women with weak immune systems, clinical manifestations and vertical transmission of COVID-19 are matters of interest. Staff of the obstetrics department of university hospitals in Daegu and of the Daegu metropolitan government designated Daegu Fatima Hospital for the delivery of pregnant women with suspected and confirmed SARS-CoV-2 infection. Thirteen pregnant women with laboratory-confirmed COVID-19 were identified. Among them was a 28-year-old pregnant woman who had recovered from COVID-19 and had given birth to a healthy girl at 38 weeks of gestational age. We present our uncommon experience with a brief review of literatures.

High Incidence and Mortality of Out-of-Hospital Cardiac Arrest on Traditional Holiday in South Korea

BACKGROUND AND OBJECTIVES@#This study aimed to confirm the effects of traditional holidays on the incidence and outcomes of out-of-hospital cardiac arrest (OHCA) in South Korea.@*METHODS@#We studied 95,066 OHCAs of cardiac cause from a nationwide, prospective study from the Korea OHCA Registry from January 2012 to December 2016. We compared the incidence of OHCA, in-hospital mortality, and neurologic outcomes between traditional holidays, Seollal (Lunar New Year's Day) and Chuseok (Korean Thanksgiving Day), and other day types (weekday, weekend, and public holiday).@*RESULTS@#OHCA occurred more frequently on traditional holidays than on the other days. The median OHCA incidence were 51.0 (interquartile range [IQR], 44.0–58.0), 53.0 (IQR, 46.0–60.5), 52.5 (IQR, 45.3–59.8), and 60.0 (IQR, 52.0–69.0) cases/day on weekday, weekend, public holiday, and traditional holiday, respectively (p<0.001). The OHCA occurred more often at home rather than in public place, lesser bystander cardiopulmonary resuscitation (CPR) was performed, and the rate of cessation of CPR within 20 minutes without recovery of spontaneous circulation was higher on traditional holiday. After multivariable adjustment, traditional holiday was associated with higher in-hospital mortality (adjusted hazard ratio [HR], 1.339; 95% confidence interval [CI], 1.058–1.704; p=0.016) but better neurologic outcomes (adjusted HR, 0.503; 95% CI, 0.281–0.894; p=0.020) than weekdays.@*CONCLUSIONS@#The incidence of OHCAs was associated with day types in a year. It occurred more frequently on traditional holidays than on other day types. It was associated with higher in-hospital mortality and favorable neurologic outcomes than weekday.

Development and Validation of Deep-Learning Algorithm for Electrocardiography-Based Heart Failure Identification

BACKGROUND AND OBJECTIVES@#Screening and early diagnosis for heart failure (HF) are critical. However, conventional screening diagnostic methods have limitations, and electrocardiography (ECG)-based HF identification may be helpful. This study aimed to develop and validate a deep-learning algorithm for ECG-based HF identification (DEHF).@*METHODS@#The study involved 2 hospitals and 55,163 ECGs of 22,765 patients who performed echocardiography within 4 weeks were study subjects. ECGs were divided into derivation and validation data. Demographic and ECG features were used as predictive variables. The primary endpoint was detection of HF with reduced ejection fraction (HFrEF; ejection fraction [EF]≤40%), and the secondary endpoint was HF with mid-range to reduced EF (≤50%). We developed the DEHF using derivation data and the algorithm representing the risk of HF between 0 and 1. We confirmed accuracy and compared logistic regression (LR) and random forest (RF) analyses using validation data.@*RESULTS@#The area under the receiver operating characteristic curves (AUROCs) of DEHF for identification of HFrEF were 0.843 (95% confidence interval, 0.840–0.845) and 0.889 (0.887–0.891) for internal and external validation, respectively, and these results significantly outperformed those of LR (0.800 [0.797–0.803], 0.847 [0.844–0.850]) and RF (0.807 [0.804–0.810], 0.853 [0.850–0.855]) analyses. The AUROCs of deep learning for identification of the secondary endpoint was 0.821 (0.819–0.823) and 0.850 (0.848–0.852) for internal and external validation, respectively, and these results significantly outperformed those of LR and RF.@*CONCLUSIONS@#The deep-learning algorithm accurately identified HF using ECG features and outperformed other machine-learning methods.

Development and Validation of Deep-Learning Algorithm for Electrocardiography-Based Heart Failure Identification

BACKGROUND AND OBJECTIVES: Screening and early diagnosis for heart failure (HF) are critical. However, conventional screening diagnostic methods have limitations, and electrocardiography (ECG)-based HF identification may be helpful. This study aimed to develop and validate a deep-learning algorithm for ECG-based HF identification (DEHF). METHODS: The study involved 2 hospitals and 55,163 ECGs of 22,765 patients who performed echocardiography within 4 weeks were study subjects. ECGs were divided into derivation and validation data. Demographic and ECG features were used as predictive variables. The primary endpoint was detection of HF with reduced ejection fraction (HFrEF; ejection fraction [EF]≤40%), and the secondary endpoint was HF with mid-range to reduced EF (≤50%). We developed the DEHF using derivation data and the algorithm representing the risk of HF between 0 and 1. We confirmed accuracy and compared logistic regression (LR) and random forest (RF) analyses using validation data. RESULTS: The area under the receiver operating characteristic curves (AUROCs) of DEHF for identification of HFrEF were 0.843 (95% confidence interval, 0.840–0.845) and 0.889 (0.887–0.891) for internal and external validation, respectively, and these results significantly outperformed those of LR (0.800 [0.797–0.803], 0.847 [0.844–0.850]) and RF (0.807 [0.804–0.810], 0.853 [0.850–0.855]) analyses. The AUROCs of deep learning for identification of the secondary endpoint was 0.821 (0.819–0.823) and 0.850 (0.848–0.852) for internal and external validation, respectively, and these results significantly outperformed those of LR and RF. CONCLUSIONS: The deep-learning algorithm accurately identified HF using ECG features and outperformed other machine-learning methods.

High Incidence and Mortality of Out-of-Hospital Cardiac Arrest on Traditional Holiday in South Korea

BACKGROUND AND OBJECTIVES: This study aimed to confirm the effects of traditional holidays on the incidence and outcomes of out-of-hospital cardiac arrest (OHCA) in South Korea. METHODS: We studied 95,066 OHCAs of cardiac cause from a nationwide, prospective study from the Korea OHCA Registry from January 2012 to December 2016. We compared the incidence of OHCA, in-hospital mortality, and neurologic outcomes between traditional holidays, Seollal (Lunar New Year's Day) and Chuseok (Korean Thanksgiving Day), and other day types (weekday, weekend, and public holiday). RESULTS: OHCA occurred more frequently on traditional holidays than on the other days. The median OHCA incidence were 51.0 (interquartile range [IQR], 44.0–58.0), 53.0 (IQR, 46.0–60.5), 52.5 (IQR, 45.3–59.8), and 60.0 (IQR, 52.0–69.0) cases/day on weekday, weekend, public holiday, and traditional holiday, respectively (p<0.001). The OHCA occurred more often at home rather than in public place, lesser bystander cardiopulmonary resuscitation (CPR) was performed, and the rate of cessation of CPR within 20 minutes without recovery of spontaneous circulation was higher on traditional holiday. After multivariable adjustment, traditional holiday was associated with higher in-hospital mortality (adjusted hazard ratio [HR], 1.339; 95% confidence interval [CI], 1.058–1.704; p=0.016) but better neurologic outcomes (adjusted HR, 0.503; 95% CI, 0.281–0.894; p=0.020) than weekdays. CONCLUSIONS: The incidence of OHCAs was associated with day types in a year. It occurred more frequently on traditional holidays than on other day types. It was associated with higher in-hospital mortality and favorable neurologic outcomes than weekday.

The effect of salinomycin on ovarian cancer stem-like cells

OBJECTIVE: The identification of cancer stem-like cells is a recent development in ovarian cancer. Compared to other cancer cells, cancer stem-like cells present more chemo-resistance and more aggressive characteristics. They play an important role in the recurrence and drug resistance of cancer. Therefore, the target therapy of cancer stem-like cell may become a promising and effective approach for ovarian cancer treatment. It may also help to provide novel diagnostic and therapeutic strategies. METHODS: The OVCAR3 cell line was cultured under serum-free conditions to produce floating spheres. The CD44⁺CD117⁺ cell line was isolated from the human ovarian cancer cell line OVCAR3 by using immune magnetic-activated cell sorting system. The expression of stemness genes such as OCT3/4, NANOG and SOX2 mRNA were determined by reverse transcription polymerase chain reaction. OVCAR3 parental and OVCAR3 CD44⁺CD117⁺ cells were grown in different doses of paclitaxel and salinomycin to evaluate the effect of salinomycin. And growth inhibition of OVCAR3 CD44+CD117+ cells by paclitaxel combined with salinomycin was determined by the 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyl-2H-tetrazolium bromide (MTT) assay. RESULTS: Tumor spheroids generated from the OVCAR3 cell line are shown to have highly enriched CD44 and CD117 expression. Treatment with a combination of paclitaxel and salinomycin demonstrated growth inhibition of OVCAR3 CD44+CD117+ cells. CONCLUSION: The present study is a detailed investigation on the expression of CD44 and CD117 in cancer stem cells and evaluates their specific tumorigenic characteristics in ovarian cancer. This study also demonstrates significant growth inhibition of cancer stem-like cells by paclitaxel combined with salinomycin. Identification of these cancer stem-like cell markers and growth inhibition effect of salinomycin may be the next step to the development of novel target therapy in ovarian cancer.

Ultrasound Guided both Obturator Nerve Block for Patient with Adductor Thigh Muscle Spasm : A case report

Obturator nerve block has been used for analgesia of hip pain, relaxation of adductor muscle spasm related to cerebral palsy or paraplegia and in urologic surgery to prevent inadvertent obturator activity during lateral wall cystoscopy. Recently, ultrasound guidance has gained popularity in the field of peripheral nerve block and have been reported in some benefits. We describe here successfully performed both obturator nerve block under ultrasound guidance.

Anesthetic Management using Laryngeal Mask Airway during Tracheotomy and End-to-End Anastomosis in a Patient with Upper Tracheal Stenosis: A case report / 대한마취과학회지

Tracheotomy and end-to-end anastomosis is a relatively rare operation, but it is one of the most challenging for anesthesiologists. During surgery, the principal anesthetic consideration is to maintain the ventilation and oxygenation throughout the procedure. We experienced anesthetic management of a 49-year-old man with upper tracheal stenosis after long-term intubation and ventilation care. The stenotic lesion was located at 2 cm below the vocal cords, and the length of the stenotic segment was about 2 cm. The anesthesia was induced and maintained with intravenous propofol and alfentanil. The airway was managed with LMA and distal tracheal intubation on the surgical field and we were able to maintain adequate ventilation and oxygenation throughout the operational period.

Clinical manifestations of amanita subjunquillea poisoning / 대한내과학회지

BACKGROUND: To the best of our knowledge, the report on Amanita subjunquillea poisoning has not been found in the medical literature. We investigated the clinical aspects of Amanita subjunquillea poisoning. METHODS: Sixteen subjects who had ingested the mushroom (A. subjunquillea) were examined for clinical features, laboratory and radiologic findings prospectively. RESULTS: The mean incubation period was 11.5 hours(range: 3 to 17 hours). The initial presentations were gastrointestinal symptoms which persisted for 2 to 4 days. The transaminase levels were elevated in all subjects and peaked on day 3 after ingestion of the mushrooms (mean AST/ALT levels : 3241 IU/L and 3741 IU/L, respectively). Biochemical evidence of pancreatitis and disseminated intravascular coagulation were frequent (83.3% and 62.5%, respectively). Liver ultrasonography and scintigraphy revealed abnormalities in most cases. Massive hepatic necrosis was confirmed by liver biopsy in one subject. The overall mortality was 12.5%. CONCLUSION: Clinical manifestations of A. subjunquillea poisoning were similar to those of other poisonous Amanitaceae intoxication. However, the mortality rate was lower in A. subjunquillea poisoning. Our data showed strong evidence that A. subjunquillea should be classified in the group of poisonous mushrooms.

Rheumatoid arthritis associated with myelodysplastic syndrome: a case report

Myelodysplastic syndromes (MDS) are a group of refractory anemias resulting from a clonal stem cell disorder often associated with cytogenetic abnormalities. There is increasing recognition of immunological abnormalities in patients with MDS, including defective B- and T-cell function, hyper- or hypogammaglobulinemia and monoclonal gammopathy. MDS have been associated with Sjogren's syndrome, polymyalgia rheumatica, relapsing polychondritis and systemic lupus erythematosus. Although there may be various rheumatologic features, including acute arthritis in MDS, chronic inflammatory arthritis is uncommonly combined. There have been a few reports that described cases of rheumatoid arthritis (RA) concurrent with MDS, but advanced rheumatoid arthritis with typical joint deformities has rarely been reported. We report a case of rheumatoid arthritis with atlantoaxial subluxation combined with refractory anemia in a 31-year-old woman.

Three Cases of Nevus Lipomatosus Cutaneous Superficialis / 대한피부과학회지

Nevus lipomatosus cutaneous superficialis(NLCS) is a rare nevoiri anomaly characterized by ectopic adipose tissue in the dermis without predilection. In this disease two clinical types are distinguished: The classic type consists of asymptomatic linear or zosteriform coliection of soft, flesh colored to yellowish, papules or nodules that often coalesce into plaque. It is usually located in the pelvic girdle and lumbar area but has been repeted on the abdomen, thorax, thigh, and scalp. The solitary form usually appears later in life and can occur at any site. There is no sexurl irredilection or hereditary trend. There are no assoeiated abnor malities. The authors experienced three cases of typical NLCS including thia silitary type that had several solitary nodules irregularly. The first case was a 24-year-old female which has had multiple, flesh to dark brown-colored, confluent nodules over the left upper thigh for 5-years. The second case is the solitary type that a 56-year-old female has had discrete bean sized to what sized nodules on the right buttock for 13-years. The third case was a 23-year-old female who had soft, yellowish skin colored, cerebriform tumor on the right buttock for 10-yesrs. Diagnos was confirmed by clinical and histopathologic findings.