Evaluation of the Paradoxical Association Between Lipid Levels and Incident Atrial Fibrillation According to Statin Usage: A Nationwide Cohort Study

Objective@#Higher levels of total cholesterol (TC) and low-density lipoprotein cholesterol (LDL-C) are associated with a lower risk of atrial fibrillation (AF). Statin use might exert confounding effects on the paradoxical associations; however, the relationships that distinguish statin users from non-users have not been thoroughly evaluated. @*Methods@#From the Korean National Health Insurance Database, we included 9,778,014 adults who underwent a health examination in 2009. The levels of TC and LDL-C at the health examination were categorized into quartile values of the total study population.We grouped the study population into statin users and non-users and investigated the associations between TC, LDL-C, and the risk of incident AF. @*Results@#Of the total population, 867,336 (8.9%) were taking statins. During a mean followup of 8.2 years, inverse associations of TC – AF and LDL-C – AF were observed; higher levels of TC and LDL-C were associated with the lower risk of AF in the total population. Overall, statin users showed higher AF incidence rate than non-users, but the inverse associations of TC – AF and LDL-C – AF were consistently observed irrespective of statin usage; adjusted hazard ratio with 95% confidence interval was 0.81 (0.79–0.84) for statin users and 0.81 (0.80–0.83) for non-users in the highest TC quartile, and 0.84 (0.82–0.87) for statin users and 0.85 (0.84–0.86) for non-users in the highest LDL-C quartile (all p<0.001). @*Conclusion@#The paradoxical relationship between lipid levels (TC and LDL-C) and the risk of AF remains consistent in both statin users and non-users.

Machine Learning Prediction for the Recurrence After Electrical Cardioversion of Patients With Persistent Atrial Fibrillation

Background and Objectives@#There is limited evidence regarding machine-learning prediction for the recurrence of atrial fibrillation (AF) after electrical cardioversion (ECV).This study aimed to predict the recurrence of AF after ECV using machine learning of clinical features and electrocardiograms (ECGs) in persistent AF patients. @*Methods@#We analyzed patients who underwent successful ECV for persistent AF. Machine learning was designed to predict patients with 1-month recurrence. Individual 12-lead ECGs were collected before and after ECV. Various clinical features were collected and trained the extreme gradient boost (XGBoost)-based model. Ten-fold cross-validation was used to evaluate the performance of the model. The performance was compared to the C-statistics of the selected clinical features. @*Results@#Among 718 patients (mean age 63.5±9.3 years, men 78.8%), AF recurred in 435(60.6%) patients after 1 month. With the XGBoost-based model, the areas under the receiver operating characteristic curves (AUROCs) were 0.57, 0.60, and 0.63 if the model was trained by clinical features, ECGs, and both (the final model), respectively. For the final model, the sensitivity, specificity, and F1-score were 84.7%, 28.2%, and 0.73, respectively. Although the AF duration showed the best predictive performance (AUROC, 0.58) among the clinical features, it was significantly lower than that of the final machine-learning model (p<0.001).Additional training of extended monitoring data of 15-minute single-lead ECG and photoplethysmography in available patients (n=261) did not significantly improve the model’s performance. @*Conclusions@#Machine learning showed modest performance in predicting AF recurrence after ECV in persistent AF patients, warranting further validation studies.

Predictive Value of Electromechanical Window for Risk of Fatal Ventricular Arrhythmia

Background@#As an indicator of electro-mechanical coupling, electromechanical window (EMW) can be used to predict fatal ventricular arrhythmias. We investigated the additive effect of EMW on the prediction of fatal ventricular arrhythmias in high-risk patients. @*Methods@#We included patients who had implantable cardioverter-defibrillator (ICD) implanted for primary or secondary prevention. The event group was defined as those who received an appropriate ICD therapy. We acquired echocardiograms at ICD implantation and follow-up. The EMW was calculated as the difference between the interval from QRS onset to aortic valve closure and QT interval from the electrocardiogram embedded in the continuous wave doppler image. We evaluated the predictive value of EMW for predicting fatal ventricular arrhythmia. @*Results@#Of 245 patients (67.2 ± 12.8 years, 63.7% men), the event group was 20.0%. EMW at baseline (EMW-Baseline) and follow-up (EMW-FU) was significantly different between event and control groups. After adjustment, both EMW-Baseline (odds ratio [OR]adjust 1.02 [1.01– 1.03], P = 0.004) and EMW-FU (ORadjust 1.06 [1.04–1.07], P < 0.001) remained as significant predictors for fatal arrhythmic events. Adding EMW-Baseline significantly improved the discriminating ability of the multivariable model including clinical variables (area under the curve [AUC] 0.77 [0.70–0.84] vs. AUC 0.72 [0.64–0.80], P = 0.004), while a univariable model using EMW-FU alone showed the best performance among models (AUC 0.87 [0.81– 0.94], P = 0.060 against model with clinical variables; P = 0.030 against model with clinical variables and EMW-Baseline). @*Conclusion@#The EMW could effectively predict severe ventricular arrhythmia in ICD implanted patients. This finding supports the importance of incorporating the electro-mechanical coupling index into the clinical practice for predicting future fatal arrhythmia events.

Analysis of Factors Influencing the Intent to Stay among Military Hospital Nurses / 한국직업건강간호학회지

Purpose@#This study aimed to determine the effects of grit, nursing work environment, and job esteem on the intent to stay among military hospital nurses. @*Methods@#This study employed a descriptive cross-sectional design. Data were collected from February 7 to 18, 2022 from 232 nurses working at four military hospitals under the Armed Forces Medical Command. The analysis was conducted using the SPSS/WIN 26.0 program, and descriptive statistics, t-test, ANOVA, Pearson coefficient correlations, and multiple regression analysis were performed. @*Results@#Factors affecting the intent to stay included job esteem (β=.44, p<.001), total clinical experience of more than 10 years (β=.24, p=.001), and nursing work environment (β=.17, p=.009). @*Conclusion@#The results can be used to ensure personnel quality at military medical institutions and can contribute to improving patient safety and medical services. Further, nursing managers need to formulate and implement strategies to foster a positive nursing work environment.

Menopausal hormone therapy in the cancer survivors

Due to advances in the treatment and diagnosis of cancer, many women survive long after treatment, and therefore express concerns about the impact of estrogen deficiency on their quality of life. Cancer treatment can induce menopause through surgical removal of the ovaries, chemotherapy, or radiation. Women who undergo induced menopause usually experience more sudden and severe menopausal symptoms, including vasomotor symptoms, psychological symptoms, genitourinary symptoms, cardiovascular disease, and osteoporosis. Menopausal hormone therapy (MHT) is especially important in women younger than 40. In this review, we consider the role of MHT after the diagnosis of breast, gynecologic, colorectal, stomach, liver, lung, and hematologic cancers. MHT is advantageous in endometrial cancer type I, cervical squamous cell carcinoma, colorectal cancer, hepatocellular carcinoma, and hematologic malignancies. However, MHT is not recommended for use in breast cancer, endometrial stromal sarcoma, hormone receptor–positive gastric cancer, and lung cancer survivors because it is linked to an increased risk of cancer recurrence. Depending on the type of cancer, clinicians should recommend that cancer survivors receive appropriate MHT in order to reduce vasomotor symptoms and to benefit from its positive effects on the cardiovascular and skeletal systems.

Menopausal hormone therapy in the cancer survivors

Due to advances in the treatment and diagnosis of cancer, many women survive long after treatment, and therefore express concerns about the impact of estrogen deficiency on their quality of life. Cancer treatment can induce menopause through surgical removal of the ovaries, chemotherapy, or radiation. Women who undergo induced menopause usually experience more sudden and severe menopausal symptoms, including vasomotor symptoms, psychological symptoms, genitourinary symptoms, cardiovascular disease, and osteoporosis. Menopausal hormone therapy (MHT) is especially important in women younger than 40. In this review, we consider the role of MHT after the diagnosis of breast, gynecologic, colorectal, stomach, liver, lung, and hematologic cancers. MHT is advantageous in endometrial cancer type I, cervical squamous cell carcinoma, colorectal cancer, hepatocellular carcinoma, and hematologic malignancies. However, MHT is not recommended for use in breast cancer, endometrial stromal sarcoma, hormone receptor–positive gastric cancer, and lung cancer survivors because it is linked to an increased risk of cancer recurrence. Depending on the type of cancer, clinicians should recommend that cancer survivors receive appropriate MHT in order to reduce vasomotor symptoms and to benefit from its positive effects on the cardiovascular and skeletal systems.

Erratum: Correction of Acknowledgements

The Acknowledgements was published incorrectly. The authors apologize for any inconvenience that it may have caused.

Effectiveness and safety of sublingual misoprostol in medical treatment of the 1st trimester miscarriage: experience of off-label use in Korea

OBJECTIVE: This study was conducted to determine the effectiveness and safety of medical treatment with sublingual misoprostol (MS) in the 1st trimester miscarriage under the approval by Health Insurance Review and Assessment Service (HIRA) for off-label usage by the single medical center in Korea. METHODS: A retrospective cohort study was performed in one institution between April 2013 and June 2016. Ninety-one patients diagnosed with miscarriage before 14 weeks of gestation and wanted to try medical treatment were included. A detailed ultrasound scan was performed to confirm the diagnosis. Patients took 600 microgram (mcg) of MS sublingually at initial dose, and repeated the same dose 4–6 hours apart. Successful medical abortion was defined as spontaneous expulsion of gestational products (including gestational sac, embryo, fetus, and placenta). If gestational products were not expelled, surgical evacuation was performed at least 24 hours later from the initial dose. Information about side effects was obtained by medical records. RESULTS: About two-thirds of patients had a successful outcome. The median interval time from pill to expulsion was 18 hours in the successful medical treatment group. There was no serious systemic side effect or massive vaginal bleeding. Presence or absence of vaginal spotting before diagnosis of miscarriage, uterine leiomyomas, subchorionic hematoma, or distorted shape of gestational sac on ultrasound scan were not statistically different between the two groups. CONCLUSION: Medical treatment with sublingual MS can be a proper option for the 1st trimester miscarriage, especially for the patient who want to avoid surgical procedure. We can reduce the unnecessary sedation or surgical intervention in the patients with the 1st trimester miscarriage.

The clinical significance of D-dimer concentrations in patients with gestational hypertensive disorders according to the severity

OBJECTIVE: Pregnancy is a major risk factor of thromboembolism, and the patients with preeclampsia (PE) are known to have higher risk of thromboembolic complications than normal pregnant women. D-dimer is a well-established laboratory marker for the screening of venous thromboembolism (VTE), but the concentrations of d-dimer tend to increase physiologically in pregnant women throughout the gestational age. We performed this study to evaluate the clinical significance of d-dimer concentrations in patients with gestational hypertensive disorders (GHD) according to the severity. METHODS: Retrospective cohort study was performed in one institution. Singleton pregnant women with GHD were enrolled, and their antepartum concentrations of d-dimer were measured as a part of routine evaluation for patients suspected with PE. Patients with multiple gestations, rheumatic diseases, autoimmune diseases, or suspected VTE were excluded. A categorization of severity about PE was based on the general criteria. RESULTS: In 73.3% of study population, their d-dimer concentrations exceeded the normal range (>0.55 mg/L). A significantly greater proportion of pregnant women had excessive concentrations of d-dimer in the severe GHD than in the non-severe GHD (89.8% vs. 53.7%; P<0.01). Patients with severe GHD had significantly higher median concentrations of d-dimer than those with non-severe GHD (median [range], 2.00 mg/L [0.11 to 7.49] vs. 0.71 mg/L [0.09 to 5.39]; P<0.01) although their earlier gestational ages of sampling. CONCLUSION: Maternal concentrations of d-dimer were significantly elevated in patients with severe features than those without severe features among those with GHD. Some pregnant women with GHD can have markedly elevated concentrations of d-dimer without any evidence of current VTE.