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Resistant hypertension is a condition where blood pressure levels remain elevated above target despite changes in lifestyle and concurrent use of at least three antihypertensive agents, including a long-acting calcium channel blocker (CCB), a blocker of the renin-angiotensin system (ACE inhibitor or angiotensin receptor blocker) and a diuretic. To be diagnosed as resistant hypertension, maintaining adherence to therapy is required along with confirmation of blood pressure levels above target by out-of-office blood pressure measurements and exclusion of secondary causes of hypertension. The key management points of this condition include lifestyle changes such as reduced sodium and alcohol intake, regular physical activity, weight loss and discontinuation of substances that can interfere with blood pressure control. It is also recommended that current treatment be rationalised, including single pill combination treatment where antihypertensive drugs should be provided at the maximum tolerated dose. It is further recommended that current drugs be replaced with a more appropriate and less difficult treatment regimen based on the patient’s age, ethnicity, comorbidities and risk of drug–drug interactions. The fourth line of treatment for patients with resistant hypertension should include mineralocorticoid receptor antagonists such as spironolactone, as demonstrated in the PATHWAY-2 trial and meta-analyses. Alternatives to spironolactone include amiloride, doxazosin, eplerenone, clonidine and beta-blockers, as well as any other antihypertensive drugs not already in use. New approaches under research are selective non-steroidal mineralocorticoid receptor antagonists such as finerenone, esaxerenone and ocedurenone, selective aldosterone synthase inhibitors such as baxdrostat, and dual endothelin antagonist aprocitentan.

This study aimed to develop and validate deep-learning-based artificial intelligence algorithm for predicting mortality of AHF (DAHF). 12,654 dataset from 2165 patients with AHF in two hospitals were used as train data for DAHF development, and 4759 dataset from 4759 patients with AHF in 10 hospitals enrolled to the Korean AHF registry were used as performance test data. The endpoints were in-hospital, 12-month, and 36-month mortality. We compared the DAHF performance with the Get with the Guidelines-Heart Failure (GWTG-HF) score, Meta-Analysis Global Group in Chronic Heart Failure (MAGGIC) score, and other machine-learning models by using the test data. Area under the receiver operating characteristic curve of the DAHF were 0.880 (95% confidence interval, 0.876-0.884) for predicting in-hospital mortality; these results significantly outperformed those of the GWTG-HF (0.728 [0.720-0.737]) and other machine-learning models. For predicting 12- and 36-month endpoints, DAHF (0.782 and 0.813) significantly outperformed MAGGIC score (0.718 and 0.729). During the 36-month follow-up, the high-risk group, defined by the DAHF, had a significantly higher mortality rate than the low-risk group(p<0.001). DAHF predicted the in-hospital and long-term mortality of patients with AHF more accurately than the existing risk scores and other machine-learning models.

Cuffless wearable devices are currently being developed for long-term monitoring of blood pressure (BP) in patients with hypertension and in apparently healthy people. This study evaluated the feasibility and measurement stability of smartwatch-based cuffless BP monitoring in real-world conditions. Users of the first smartwatch-based cuffless BP monitor approved in Korea (Samsung Galaxy Watch) were invited to upload their data from using the device for 4 weeks post calibration. A total of 760 participants (mean age 43.7 ± 11.9, 80.3% men) provided 35,797 BP readings (average monitoring 22 ± 4 days [SD]; average readings 47 ± 42 per participant [median 36]). Each participant obtained 1.5 ± 1.3 readings/day and 19.7% of the participants obtained measurements every day. BP showed considerable variability, mainly depending on the day and time of the measurement. There was a trend towards higher BP levels on Mondays than on other days of the week and on workdays than in weekends. BP readings taken between 00:00 and 04:00 tended to be the lowest, whereas those between 12:00 and 16:00 the highest. The average pre-post calibration error for systolic BP (difference in 7-day BP before and after calibration), was 6.8 ± 5.6 mmHg, and was increased with higher systolic BP levels before calibration. Smartwatch-based cuffless BP monitoring is feasible for out-of-office monitoring in the real-world setting. The stability of BP measurement post calibration and the standardization and optimal time interval for recalibration need further investigation.

Background High glycemic variability (GV) is a poor prognostic marker in cardiovascular diseases. We aimed to investigate the association of GV with all-cause mortality in patients with acute heart failure (HF). Methods The Korean Acute Heart Failure registry enrolled patients hospitalized for acute HF from 2011 to 2014. Blood glucose levels were measured at the time of admission, during hospitalization, and at discharge. We included those who had 3 or more blood glucose measurements in this study. Patients were divided into two groups based on the coefficient of variation (CoV) as an indicator of GV. Among survivors of the index hospitalization, we investigated all-cause mortality at 1 year after discharge. Results The study analyzed 2,617 patients (median age, 72 years; median left-ventricular ejection fraction, 36%; 53% male). During the median follow-up period of 11 months, 583 patients died. Kaplan–Meier curve analysis revealed that high GV (CoV > 21%) was associated with lower cumulative survival (log-rank P < 0.001). Multivariate Cox proportional analysis showed that high GV was associated with an increased risk of 1-year (HR 1.56, 95% CI 1.26–1.92) mortality. High GV significantly increased the risk of 1-year mortality in non-diabetic patients (HR 1.93, 95% CI 1.47–2.54) but not in diabetic patients (HR 1.19, 95% CI 0.86–1.65, P for interaction = 0.021). Conclusions High in-hospital GV before discharge was associated with all-cause mortality within 1 year, especially in non-diabetic patients with acute HF.

Background Shift work has been hypothesized as a risk factor for obesity. In this study, we investigated the association between current shift work and body mass index (BMI) among female nurses in Korea. The relationship between duration of shift work and BMI of the participants was also evaluated. Methods This cross-sectional survey evaluated participants in the Korean Nurses’ Survey, conducted from October to December 2011, using web-based self-administered questionnaires. A total of 9,989 nurses were included among 10,000 who registered on the survey web site (5,287 shift workers and 4,702 non-shift workers). Current shift workers were divided into tertiles of shift work duration (0.08–3.00 years, n = 1,732; 3.08–6.75 years, n = 1,731; and 6.83–38.00 years, n = 1,686). The BMI thresholds of overweight and obesity were ≥23 kg/m 2 and ≥25 kg/m 2 , respectively. Data were analyzed using SPSS software. Results Mean participant age was 33.2 ± 8.6 years and the mean BMI was 20.9 ± 2.5 kg/m 2 . There were statistically significant differences in current smoking status, regular drinking habit, dietary habits, regular exercise, sleep problems and self-perceived health status according to duration of shift work. The overall prevalence of overweight/obesity (18.6%) and obesity (7.4%) increased significantly as shift work duration increased from the lowest to highest tertile ( P for trend <0.001). Multivariate logistic regression analysis revealed no association between current shift work and BMI. However, after adjusting for potential confounders, the participants with the longest duration of shift work were 1.63 (95% CI, 1.22–2.17) times more likely to be overweight or obese than those with the shortest duration. There was a significant positive association between obesity and shift work duration in the unadjusted analysis; however, it was attenuated and no longer significant in the multivariate model. Conclusions The duration of shift work was positively associated with prevalence of overweight/obesity in nurses in Korea. Although these findings need to be confirmed in prospective studies, they suggest that special attention should be paid to female nurses with a long duration of shift work.

Background The Korea Hypertension Fact Sheet 2018 aims to overview the magnitude and management status of hypertension, and their trends in Korea. Methods The Hypertension Epidemiology Research Group analyzed the 1998–2016 Korea National Health and Nutrition Examination Survey data and the 2002–2016 Korea National Health Insurance Big Data. Results The population average of systolic/diastolic blood pressure was 118/77 mmHg among Korean adults (age 30+) in 2016, showing little change in recent 10 years. However, the number of people with hypertension increased steadily, exceeding 11 million. The number of people diagnosed with hypertension increased from 3 million in 2002 to 8.9 million in 2016. The number of people using antihypertensive medication increased from 2.5 million in 2002 to 8.2 million in 2016. However, only 5.7 million people are being treated constantly. Hypertension awareness, treatment, and control rates increased fast until 2007, but showed a plateau thereafter. More than half of the young hypertensive patients (30–49 years) did not know about and treat for their hypertension. Among patients prescribed antihypertensive medications, 45% was elderly people over the age of 65 years, 57% used anti-diabetic or cholesterol-lowering medications, and 60% were prescribed two or more class of antihypertensive medications simultaneously. Conclusions In Korea, the level of hypertension management has considerably improved over the last 20 years. In order to achieve further improvement in hypertension management status, we need to find the vulnerable subgroups and develop subgroup-specific intervention strategies. It is also becoming more important to manage hypertensive patients at older age and those with concurrent chronic diseases.

Objectives and designGuideline-directed medical therapy (GDMT) with renin–angiotensin system (RAS) inhibitors and beta-blockers has improved survival in patients with heart failure with reduced ejection fraction (HFrEF). As clinical trials usually do not include very old patients, it is unknown whether the results from clinical trials are applicable to elderly patients with HF. This study was performed to investigate the clinical characteristics and treatment strategies for elderly patients with HFrEF in a large prospective cohort.SettingThe Korean Acute Heart Failure (KorAHF) registry consecutively enrolled 5625 patients hospitalised for acute HF from 10 tertiary university hospitals in Korea.ParticipantsIn this study, 2045 patients with HFrEF who were aged 65 years or older were included from the KorAHF registry.Primary outcome measurementAll-cause mortality data were obtained from medical records, national insurance data or national death records.ResultsBoth beta-blockers and RAS inhibitors were used in 892 (43.8%) patients (GDMT group), beta-blockers only in 228 (11.1%) patients, RAS inhibitors only in 642 (31.5%) patients and neither beta-blockers nor RAS inhibitors in 283 (13.6%) patients (no GDMT group). With increasing age, the GDMT rate decreased, which was mainly attributed to the decreased prescription of beta-blockers. In multivariate analysis, GDMT was associated with a 53% reduced risk of all-cause mortality (HR 0.47, 95% CI 0.39 to 0.57) compared with no GDMT. Use of beta-blockers only (HR 0.57, 95% CI 0.45 to 0.73) and RAS inhibitors only (HR 0.58, 95% CI 0.48 to 0.71) was also associated with reduced risk. In a subgroup of very elderly patients (aged ≥80 years), the GDMT group had the lowest mortality.ConclusionsGDMT was associated with reduced 3-year all-cause mortality in elderly and very elderly HFrEF patients.Trial registration number NCT01389843.

In clinical practice, a risk prediction model is an effective solitary program to predict prognosis in particular patient groups. B-type natriuretic peptide (BNP)and N-terminal pro-b-type natriuretic peptide (NT-proBNP) are widely recognized outcome-predicting factors for patients with heart failure (HF).This study derived external validation of a risk score to predict 1-year mortality after discharge in hospitalized patients with HF using the Meta-analysis Global Group in Chronic Heart Failure (MAGGIC)program data. We also assessed the effect of adding BNP or NT-proBNP to this risk score model in a Korean HF registry population. We included 5625 patients from the Korean acute heart failure registry (KorAHF) and excluded those who died in hospital. The MAGGIC constructed a risk score to predict mortality in patients with HF by using 13 routinely available patient characteristics (age, gender, diabetes, chronic obstructive pulmonary disorder (COPD), HF diagnosed within the last 18 months, current smoker, NYHA class, use of beta blocker, ACEI or ARB, body mass index, systolic blood pressure, creatinine, and EF). We added BNP or NT-proBNP, which are the most important biomarkers, to the MAGGIC risk scoring system in patients with HF. The outcome measure was 1-year mortality. In multivariable analysis, BNP or NT-proBNP independently predicted death. The risk score was significantly varied between alive and dead groups (30.61 ± 6.32 vs. 24.80 ± 6.81, p < 0.001). After the conjoint use of BNP or NT-proBNP and MAGGIC risk score in patients with HF, a significant difference in risk score was noted (31.23 ± 6.46 vs. 25.25 ± 6.96, p < 0.001).The discrimination abilities of the risk score model with and without biomarker showed minimal improvement (C index of 0.734 for MAGGIC risk score and 0.736 for MAGGIC risk score plus BNP or NT-proBNP, p = 0.0502) and the calibration was found good. However, we achieved a significant improvement in net reclassification and integrated discrimination for mortality (NRI of 33.4%,p < 0.0001 and IDI of 0.002, p < 0.0001). In the KorAHF, the MAGGIC project HF risk score performed well in a large nationwide contemporary external validation cohort. Furthermore, the addition of BNP or NT-proBNPto the MAGGIC risk score was beneficial in predicting more death in hospitalized patients with HF.

ObjectiveThere are conflicting results among previous studies regarding the prognosis of heart failure with preserved ejection fraction (HFpEF) compared with heart failure with reduced ejection fraction (HFrEF). This study aimed to compare the outcomes of patients with de novo acute heart failure (AHF) or acute decompensated HF (ADHF) according to HFpEF (EF≥50%), or HFrEF (EF<40%) and to define the prognosis of patients with HF with mid-range EF (HFmrEF, 40≤EF<50%).MethodsBetween March 2011 and February 2014, 5625 consecutive patients with AHF were recruited from 10 university hospitals. A total of 5414 (96.2%) patients with EF data were enrolled, which consisted of 2867 (53.0%) patients with de novo and 2547 (47.0%) with ADHF. Each of the enrolled group was stratified by EF.ResultsIn de novo, all-cause death rates were not significantly different between HFpEF and HFrEF (HFpEF vs HFrEF, 206/744 (27.7%) vs 438/1631 (26.9%), HRadj 1.15, 95% CI 0.96 to 1.38, p=0.14). However, among patients with ADHF, HFrEF had a significantly higher mortality rate compared with HFpEF (HFpEF vs HFrEF, 245/613 (40.0%) vs 694/1551 (44.7%), HRadj 1.25, 95% CI 1.06 to 1.47, p=0.007). Also, in ADHF, HFmrEF was associated with a significantly lower mortality rate within 1 year compared with HFrEF (HFmrEF vs HFrEF, 88/383 (23.0%) vs 430/1551 (27.7%), HRadj 1.31, 95% CI 1.03 to 1.65, p=0.03), but a significantly higher mortality rate after 1 year compared with HFpEF (HFmrEF vs HFpEF, 83/295 (28.1%) vs 101/469 (21.5%), HRadj 0.70, 95% CI 0.52 to 0.96, p=0.02).ConclusionsHFpEF may indicate a better prognosis compared with HFrEF in ADHF, but not in de novo AHF. For patients with ADHF, the prognosis associated with HFmrEF was similar to that of HFpEF within the first year following hospitalisation and similar to HFrEF 1  year after hospitalisation.

The potential cancer risk associated with long‐term exposure to angiotensin receptor blockers (ARBs) is still unclear. We assessed the risk of incident cancer among hypertensive patients who were treated with ARBs compared with patients exposed to angiotensin‐converting enzyme inhibitors (ACEIs), which are known to have a neutral effect on cancer development. Using the Korean National Health Insurance Service database, we analyzed the data of patients diagnosed with essential hypertension from January 2005 to December 2012 who were aged ≥40 years, initially free of cancer, and were prescribed either ACEI or ARB (n = 293,962). Cox proportional hazard model adjusted for covariates was used to evaluate the risk of incident cancer. During a mean follow‐up of 10 years, 24,610 incident cancers were observed. ARB use was associated with a decreased risk of overall cancer compared with ACEI use (hazard ratio [HR] 0.76, 95% confidence interval [CI] 0.72‐0.80). Similar results were obtained for lung (HR 0.73, 95% CI 0.64‐0.82), hepatic (HR 0.56, 95% CI 0.48‐0.65), and gastric cancers (HR 0.74, 95% CI 0.66‐0.83). Regardless of the subgroup, greater reduction of cancer risk was seen among patients treated with ARB than that among patients treated with ACEIs. Particularly, the decreased risk of cancer among ARB users was more prominent among males and heavy drinkers (interaction P < .005). Dose‐response analyses demonstrated a gradual decrease in risk with prolonged ARB therapy than that with ACEI use. In conclusion, ARB use was associated with a decreased risk of overall cancer and several site‐specific cancers. In this contemporary cohort involving a population of nearly 0.3 million Koreans, the use of ARBs was associated with a decrease in the risk of overall cancer compared with the use of angiotensin‐converting enzyme inhibitors during a mean follow‐up of 10 years. The current study provides appropriate long‐term safety data, given that more patients were exposed to ARBs.