BackgroundIt has recently been shown that non-high density lipoprotein cholesterol (non-HDL-C) may be a better predictor of cardiovascular risk than low density lipoprotein cholesterol (LDL-C). Based on known ethic differences in lipid parameters and cardiovascular risk prediction, we sought to study the predictability of attaining non-HDL-C target and long-term major adverse cardiovascular event (MACE) in Thai patients after acute myocardial infarction (AMI) compared to attaining LDL-C target.MethodsWe retrospectively obtained the data of all patients who were admitted at Maharaj Nakorn Chiang Mai hospital due to AMI during 2006–2013. The mean non-HDL-C and LDL-C during long-term follow-up were used to predict MACE at each time point. The patients were classified as target attainment if non-HDL-C <100 mg/dl and/or LDL-C <70 mg/dl. The MACE was defined as combination of all-cause death, nonfatal coronary event and nonfatal stroke.ResultsDuring mean follow-up of 2.6 ± 1.6 years among 868 patients after AMI, 34.4% achieved non-HDL-C target, 23.7% achieved LDL-C target and 21.2% experienced MACEs. LDL-C and non-HDL-C were directly compared in Cox regression model. Compared with non-HDL-C <100 mg/dl, patients with non-HDL-C of >130 mg/dl had higher incidence of MACEs (HR 3.15, 95% CI 1.46–6.80, P = 0.003). Surprisingly, LDL-C >100 mg/dl was associated with reduced risk of MACE as compared to LDL <70 mg/dl (HR 0.42, 95% CI 0.18–0.98, p = 0.046) after direct pairwise comparison with non-HDL-C level.ConclusionsNon-attaining non-HDL-C goal predicted MACE at long-term follow-up after AMI whereas non-attaining LDL-C goal was not associated with the higher risk. Therefore, non-HDL-C may be a more suitable target of dyslipidemia treatment than LDL-C in patients after AMI.Electronic supplementary materialThe online version of this article (doi:10.1186/s12872-016-0450-9) contains supplementary material, which is available to authorized users.

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Aims: Sodium glucose co-transporter-2 inhibitors have been shown to reduce cardiovascular events and heart failure in type 2 diabetic (T2D) patients with high cardiovascular risk. Dipeptidyl peptidase-4 inhibitors showed neutral effects and may increase risk of heart failure. We aimed to compare cardiometabolic effects of dapagliflozin and vildagliptin in T2D patients with coronary artery disease (CAD).Methods: Forty-nine T2D patients with CAD were randomly assigned to dapagliflozin (n = 25) or vildagliptin (n = 24) for 6 months in a double-blind fashion. Cardiometabolic parameters were collected at baseline and at the end of treatments.Results: Mean age was 63.2 ± 7.9 years (female 46.9%). Baseline characteristics did not differ between two groups. At 6 months, HbA 1C significantly decreased in both dapaglifozin and vildagliptin groups (0.6 ± 1.0% vs 0.8 ± 1.4%, P = 0.22, respectively). There was no difference between the changes in lipid profiles. Body mass index decreased in patients receiving dapagliflozin, whereas it increased in those receiving vildagliptin (−1.27 [95% confidence interval −2.01, −0.53] vs 1.72 [0.72, 2.72] kg, P < 0.001). The reduction in systolic blood pressure and high-sensitivity troponin T was observed in the dapagliflozin group (−9.87 [−18.00, −1.15] mmHg and 2.49 [−4.50, −0.47] pg/mL) but not in vildagliptin group (−1.97 [−9.42, 5.48] mmHg and 1.98 [−0.02, 3.97] pg/mL). The mean haemoglobin increased in the dapagliflozin group, whereas the mean platelet volume increased in the vildagliptin group. There was no significant change in the inflammatory markers in both the groups. Conclusions: The extraglycaemic effects of dapagliflozin and vildagliptin on cardiometabolic parameters in T2D with CAD were different. The more favourable effects Abbreviations: ACS, Acute coronary syndrome; CAD, Coronary artery disease; DPP-4, Dipeptidyl peptidase-4; GLP-1, Glucagon like peptide-1; SGLT2, Sodium glucose co-transporter 2The authors confirm that the PI for this paper is Arintaya Phrommintikul and that she had direct clinical responsibility for patients

Low-dose rivaroxaban has been used in Asian patients with direct oral anticoagulants (DOACs) eligible for atrial fibrillation (AF). However, there are few pharmacokinetic (PK) data in Thai patients to support precise dosing. This study aimed to develop a population PK model and determine the optimal rivaroxaban doses in Thai patients. A total of 240 Anti-Xa levels of rivaroxaban from 60 Thai patients were analyzed. A population PK model was established using the nonlinear mixed-effect modeling approach. Monte Carlo simulations were used to predict drug exposures at a steady state for various dosages. Proportions of patients having rivaroxaban exposure within typical exposure ranges were determined. A one-compartment model with first-order absorption best described the data. Creatinine clearance (CrCl) and body weight significantly affected CL/F and V/F, respectively. Regardless of body weight, a higher proportion of patients with CrCl < 50 mL/min receiving the 10-mg once-daily dose had rivaroxaban exposures within the typical exposure ranges. In contrast, a higher proportion of patients with CrCl ≥ 50 mL/min receiving the 15-mg once-daily dose had rivaroxaban exposures within the typical exposure ranges. The study’s findings suggested that low-dose rivaroxaban would be better suited for Thai patients and suggested adjusting the medication’s dose in accordance with renal function.

BackgroundAcute coronary syndrome (ACS) patients are at very high cardiovascular risk and tend to have recurrent cardiovascular events. The clinical indicators for subsequent cardiovascular events are limited and need further investigation. This study aimed to explore clinical indicators that were associated with recurrent cardiovascular events following index hospitalization.MethodsThe data of patients hospitalized with ACS at a tertiary care hospital in northern Thailand between January 2009 and December 2012 were retrospectively reviewed from medical charts and the electronic hospital database. The patients were classified into three groups based on the frequency of recurrent cardiovascular events (nonfatal ACS, nonfatal stroke, or all-cause death) they suffered: no recurrent events (0), single recurrent event (1), and multiple recurrent events (≥2). Ordinal logistic regression was performed to explore the clinical indicators for recurrent cardiovascular events.ResultsA total of 405 patients were included; 60 % were male; the average age was 64.9 ± 11.5 years; 40 % underwent coronary revascularization during admission. Overall, 359 (88.6 %) had no recurrent events, 36 (8.9 %) had a single recurrent event, and 10 (2.5 %) had multiple recurrent events. The significant clinical indicators associated with recurrent cardiovascular events were achieving an LDL-C goal of < 70 mg/dL (Adjusted OR = 0.43; 95 % CI = 0.27–0.69, p-value < 0.001), undergoing revascularization during admission (Adjusted OR = 0.44; 95 % CI = 0.24–0.81, p-value = 0.009), being male (Adjusted OR = 1.85; 95 % CI = 1.29–2.66, p-value = 0.001), and decrease estimated glomerular filtration rate (Adjusted OR = 2.46; 95 % CI = 2.21–2.75, p-value < 0.001).ConclusionThe routine clinical practice indicators assessed in ACS patients that were associated with recurrent cardiovascular events were that achieving the LDL-C goal and revascularization are protective factors, while being male and having decreased estimated glomerular filtration rate are risk factors for recurrent cardiovascular events. These clinical indicators should be used for routinely monitoring patients to prevent recurrent cardiovascular events in ACS patients.

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Prior studies have utilized heart rate variability (HRV) as the assessment tools for psychological and physiological stress during 24-h shift. However, data regarding effects of prolonged working hours > 24 h on HRV are limited. We aimed to compare between pre- and post-call HRV among physicians who worked 24 plus 8 h. The study included 60 physicians in the internal medicine training. All subjects underwent Holter ECG monitoring for HRV assessment. We compared between HRV of an 8-h regular workday (8am to 4 pm) before on-call duty (pre-call HRV) and an 8-h workday after 24-h on-call duty (post-call HRV). The mean age was 26 ± 2.5 years. Mean total sleep time during on-call duty was 238.9 ± 88.3 min. In overall population, the time-domain and frequency-domain HRV parameters were not different between pre- and post-call day. However, the physicians reported their sleep time in the 1st quartile (< 180 min) had significant increase in SDNN, pNN50, high frequency (HF), and decrease in low/high frequency ratio (LF/HF). In contrast, the physicians reported their sleep time in the 4th quartile (> 307.5 min) had significant decrease in pNN50, LF, HF, and increase in heart rate. Multiple linear regression revealed total sleep time as an independent factor associated with pre- and post-call HRV alterations. More sleep during on call (> 5 h) was associated with HRV pattern suggesting both increased sympathetic activity and reduced parasympathetic activity, while less sleep (< 3 h) during on call was associated with post-call parasympathetic rebound HRV pattern.

BackgroundElevated low-density lipoprotein cholesterol (LDL-C) is associated with an increased risk of cardiovascular disease or mortality; however, the LDL-C goal for therapy in acute coronary syndrome (ACS) patients is controversial and varies among guidelines. This study aimed to assess the effect of reaching an LDL-C goal of <70 mg/dL (<1.8 mmol/L) on first composite cardiovascular outcomes in routine clinical practice in Thailand.MethodsA retrospective cohort study was conducted using medical charts and the electronic hospital database of patients diagnosed with ACS and treated with statins at a tertiary care hospital in Thailand between 2009 and 2012. After admission, patients were followed from the date of LDL-C goal assessment until the first event of composite cardiovascular outcomes (nonfatal ACS, nonfatal stroke, or all-cause death). Cox proportional hazard models adjusted for potential confounders were used.ResultsOf 405 patients, mean age was 65 years (60% males). Twenty-seven percent of the patients attained an LDL-C goal of <70 mg/dL, 38% had LDL-C between 70 and 99 mg/dL, and 35% had LDL-C ≥100 mg/dL. Forty-six patients experienced a composite cardiovascular outcome. Compared with patients with an LDL-C ≥100 mg/dL, patients achieving an LDL-C of <70 mg/dL were associated with a reduced composite cardiovascular outcome (adjusted hazard ratio [HR]=0.42; 95% confidence interval [CI]=0.18–0.95; P-value=0.037), but patients with an LDL-C between 70 and 99 mg/dL had a lower composite cardiovascular outcome, which was not statistically significant (adjusted HR=0.73; 95% CI=0.37–1.42; P-value=0.354).ConclusionACS patients who received statins and achieved an LDL-C of <70 mg/dL had significantly fewer composite cardiovascular outcomes, confirming “the lower the better” and the benefit of treating to LDL-C target in ACS patient management.