Factors associated with electrocardiographic left ventricular hypertrophy among patients with hypertension in Thailand

Sakboonyarat Boonsub,Poovieng Jaturon,Rangsin Ram 대한고혈압학회 2024 Clinical Hypertension Vol.30 No.-

Onefourth of Thai adults suffer from hypertension. Nevertheless, the information on LVH among Thai patients with hypertension is not well characterized. We aimed to identify the prevalence and factors associated with electrocardiographic LVH (ECG-LVH) among patients with hypertension in Thailand. Methods The present study obtained the dataset from the Thailand Diabetes Mellitus/Hypertension study, which included hypertension patients aged 20 years and older receiving continuous care at outpatient clinics in hospitals nationwide in 2011–2015 and 2018. Meanwhile, those without a record of 12-lead electrocardiography (ECG) were excluded from the analysis. ECG-LVH was defined as the LVH noted regarding ECG interpretation in the medical records. Multivariable logistic regression analysis was utilized for determining factors associated with ECG-LVH and presented as the adjusted odds ratio (AOR) and 95% confidence interval (CI). Results From 226,420 hypertensive patients in the Thailand Diabetes Mellitus/Hypertension study, 38,807 individuals (17.1%) with ECG data recorded were included in the analysis. The mean age was 64.8 ± 11.5 years, and 62.2% were women. Overall, 1,557 study participants had ECG-LVH, with an estimated prevalence of 4.0% (95% CI, 3.8–4.2%). Age-adjusted ECG-LVH prevalence among women and men was 3.4 and 5.1%, respectively (P < 0.001). Multivariable analysis determined factors associated with ECG-LVH, including being men (AOR, 1.49; 95% CI, 1.31–1.69), individuals aged 70 to 79 years (AOR, 1.56; 95% CI, 1.20–2.02) and ≥ 80 years (AOR, 2.10; 95% CI, 1.58–2.78) compared to individuals aged less than 50 years, current smokers (AOR, 1.26; 95% CI, 1.09–1.46) compared to those who never smoked, systolic blood pressure ≥ 140 mmHg and diastolic blood pressure ≥ 90 mmHg (AOR, 1.58; 95% CI, 1.30–1.92) compared to systolic blood pressure < 140 mmHg and diastolic blood pressure < 90 mmHg. Conclusions The current study illustrated the prevalence of ECG-LVH among Thai patients with hypertension who had ECG recorded and identified high-risk groups who tended to have ECG-LVH. The findings underscore the need for targeted interventions, particularly among high-risk groups such as older individuals, men, and current smokers, to address modifiable factors associated with ECG-LVH.

HLA Class I Alleles Associated with Mortality in Thai Military Recruits with HIV-1 CRF01_AE Infection

Gandhi, Rajesh T.,Bosch, Ronald J.,Rangsin, Ram,Chuenchitra, Thippawan,Sirisopana, Narongrid,Kim, Jerome H.,Robb, Merlin L.,Vejbaesya, Sasijit,Paris, Robert M.,Nelson, Kenrad E. MARY ANN LIEBERT INC PUBL 2016 AIDS RESEARCH AND HUMAN RETROVIRUSES Vol.32 No.1

The Association between Serum Uric Acid and Peripheral Neuropathy in Patients with Type 2 Diabetes Mellitus: A Multicenter Nationwide Cross- Sectional Study

Wisit Kaewput,Charat Thongprayoon,Ram Rangsin,Sarawut Jindarat,Ploypun Narindrarangkura,Tarun Bathini,Michael A. Mao,Wisit Cheungpasitporn 대한가정의학회 2020 Korean Journal of Family Medicine Vol.41 No.3

Background: The role of uric acid in the development of diabetic peripheral neuropathy remains unclear. This study aimed to determine the association between uric acid and peripheral neuropathy among type 2 diabetes mellitus (T2DM) patients. Methods: We conducted a nationwide cross-sectional study based on the diabetes and hypertension study of the Medical Research Network of the Consortium of Thai Medical Schools. Adult T2DM patients from 831 public hospitals in Thailand were evaluated. The serum uric acid level was categorized into five groups based on quintiles (<4.4, 4.4–5.3, 5.3–6.2, 6.2–7.3, and >7.3 mg/dL). A multivariate logistic regression model was used to assess the independent association between serum uric acid level and peripheral neuropathy. Results: In total, 7,511 T2DM patients with available data about serum uric acid levels were included in the analysis. The mean age of the participants was 61.7±10.9 years, and approximately 35.6% were men. The prevalence rate of peripheral neuropathy was 3.0%. Moreover, the prevalence rates of peripheral neuropathy stratified according to uric acid levels <4.4, 4.4–5.3, 5.3–6.2, 6.2–7.3, and >7.3 mg/dL were 2.5%, 2.8%, 2.4%, 2.5%, and 4.7%, respectively. A serum uric acid level ≥7.3 mg/dL was found to be associated with an increase in odds ratio (1.54; 95% confidence interval, 1.02–2.32) for peripheral neuropathy compared with a serum uric acid level <4.4 mg/dL. Conclusion: Serum uric acid level is independently associated with peripheral neuropathy in T2DM patients, and elevated serum uric acid levels should be considered a risk factor for diabetic peripheral neuropathy in clinical practice.

Epidemiology and Transmission of Respiratory Infections in Thai Army Recruits: A Prospective Cohort Study

Tam, Clarence C.,Anderson, Kathryn B.,Offeddu, Vittoria,Weg, Alden,Macareo, Louis R.,Ellison, Damon W.,Rangsin, Ram,Fernandez, Stefan,Gibbons, Robert V.,Yoon, In-Kyu,Simasathien, Sriluck The American Society of Tropical Medicine and Hygi 2018 The American journal of tropical medicine and hygi Vol.99 No.4

<P><B>Abstract.</B></P><P>Military recruits are at high risk of respiratory infections. However, limited data exist on military populations in tropical settings, where the epidemiology of respiratory infections differs substantially from temperate settings. We enrolled recruits undertaking a 10-week military training at two Royal Thai Army barracks between May 2014 and July 2015. We used a multiplex respiratory panel to analyze nose and throat swabs collected at the start and end of the training period, and from participants experiencing respiratory symptoms during follow-up. Paired sera were tested for influenza seroconversion using a hemagglutinin inhibition assay. Overall rates of upper respiratory illness and influenza-like illness were 3.1 and 2.0 episodes per 100 person-weeks, respectively. A pathogen was detected in 96% of samples. The most commonly detected microbes were <I>Haemophilus influenzae</I> type B (62.7%) or non–type B (58.2%) and rhinovirus (22.4%). At baseline, bacterial colonization was high and included <I>H. influenzae</I> type B (82.3%), <I>H. influenzae</I> non–type B (31.5%), <I>Klebsiella pneumoniae</I> (14.6%), <I>Staphylococcus aureus</I> (8.5%), and <I>Streptococcus pneumoniae</I> (8.5%). At the end of follow-up, colonization with <I>H. influenzae</I> non–type B had increased to 74.1%, and <I>S. pneumoniae</I> to 33.6%. In the serology subset, the rate of influenza infection was 3.4 per 100 person-months; 58% of influenza infections resulted in clinical disease. Our study provides key data on the epidemiology and transmission of respiratory pathogens in tropical settings. Our results emphasize the need for improved infection prevention and control in military environments, given the high burden of illness and potential for intense transmission of respiratory pathogens.</P>

Prevalence and associates of obesity and overweight among school-age children in a rural community of Thailand

Nonboonyawat, Teechaya,Pusanasuwannasri, Wuttipat,Chanrat, Nattanon,Wongthanavimok, Natta,Tubngern, Danutanut,Panutrakul, Piengkwan,Mungthin, Mathirut,Nivesvivat, Thirapa,Hatthachote, Panadda,Rangsin, The Korean Pediatric Society 2019 Clinical and Experimental Pediatrics (CEP) Vol.62 No.5

Purpose: Information about overweight and obesity among students in rural areas of Thailand is limited. Therefore, we aimed to determine overweight and obesity prevalences and associated factors among school-aged children in a rural community of Thailand. Methods: We selected 9 public schools through cluster sampling in 2 provinces located in central Thailand in 2016. Anthropometric measurements were measured using standard techniques, classified as overweight (>1 standard deviation [SD]) and obese (>2 SD) with respect to their age and sex using 2007 World Health Organization reference charts. Standardized questionnaires on risk factors were sent to parents to be completed together with their child. Results: Among 1,749 students, 8.98% had overweight and 7.26% had obesity. Mean age (range) was 11.5 years (5-18 years). Independent factors associated with overweight and obesity included primary school student (reference as secondary school) (adjusted odds ratio [aOR], 2.25; 95% confidence interval [CI], 1.24-4.08; P=0.07), mother's body mass index (aOR, 1.07; 95% CI, 1.02-1.12; P=0.001), self-employed father (aOR, 1.99; 95% CI, 1.12-3.55; P=0.018), number of siblings (aOR, 0.61; 95% CI, 0.47-0.81; P=0.001), having sibling(s) with obesity (aOR, 1.82; 95% CI, 1.20-2.77; P=0.005), more than one (aOR, 7.16; 95% CI, 2.40-21.32; P<0.001), consuming 2-3 ladles of rice/meal (aOR, 2.14; 95% CI, 1.38-3.32; P=0.001), consuming >3 ladles of rice/meal (aOR, 2.69; 95% CI, 1.11-6.46; P=0.27), watching <2 hours of television/day (aOR, 2.18; 95% CI, 1.19-4.01; P=0.012), and watching >2 hours of television/day (aOR, 2.60; 95% CI, 1.36-4.96; P=0.004). Conclusion: Many sociodemographic, dietary, and behavioral factors were related to overweight and obesity among school-aged children not only in urban but also rural communities of Thailand.