Factors influencing optimal diabetes care and clinical outcomes in Thai patients with type 2 diabetes mellitus: a multilevel modelling analysis.

BACKGROUND: Increasing levels of poor glycaemic control among Thai patients with type 2 diabetes mellitus (T2DM) motivated us to compare T2DM care between urban and suburban primary care units (PCUs), to identify gaps in care, and to identify significant factors that may influence strategies to enhance the quality of care and clinical outcomes in this population. METHODS: We conducted a cross-sectional study involving 2160 patients with T2DM treated at four Thai PCUs from 2019 to 2021, comprising one urban and three suburban facilities. Using mixed effects logistic regression, we compared care factors between urban and suburban PCUs. RESULTS: Patients attending suburban PCUs were significantly more likely to undergo eye (adjusted OR (AOR): 1.83, 95% CI 1.35 to 1.72), foot (AOR: 1.61, 95% CI 0.65 to 4.59) and HbA1c (AOR: 1.66, 95% CI 1.09 to 2.30) exams and achieved all ABC (HbA1c, blood pressure (BP) and low-density lipoprotein cholesterol (LDL-C)) goals (AOR: 2.23, 95% CI 1.30 to 3.83). Conversely, those at an urban PCU were more likely to undergo albuminuria exams. Variables significantly associated with good glycaemic control included age (AOR: 1.51, 95% CI 1.31 to 1.79), T2DM duration (AOR: 0.59, 95% CI 0.41 to 0.88), FAACE (foot, HbA1c, albuminuria, LDL-C and eye) goals (AOR: 1.23, 95% CI 1.12 to 1.36) and All8Q (AOR: 1.20, 95% CI 1.05 to 1.41). Chronic kidney disease (CKD) was significantly linked with high triglyceride and HbA1c levels (AOR: 5.23, 95% CI 1.21 to 7.61). Elevated HbA1c levels, longer T2DM duration, insulin use, high systolic BP and high lipid profile levels correlated strongly with diabetic retinopathy (DR) and CKD progression. CONCLUSION: This highlights the necessity for targeted interventions to bridge urban-suburban care gaps, optimise drug prescriptions and implement comprehensive care strategies for improved glycaemic control, DR prevention and CKD progression mitigation among in Thai patients with T2DM. The value of the clinical target aggregate (ABC) and the process of care aggregate (FAACE) was also conclusively demonstrated.

A Pilot Study of 0.4% Povidone-Iodine Nasal Spray to Eradicate SARS-CoV-2 in the Nasopharynx.

Purpose: This study aimed to evaluate the virucidal efficacy of 0.4% povidone-iodine (PVP-I) nasal spray against SARS-CoV-2 in the patients' nasopharynx at 3 minutes and 4 hours after PVP-I exposure. Patients and Methods: The study was an open-label, before and after design, single-arm pilot study of adult patients with RT-PCR-confirmed COVID-19 within 24 hours. All patients received three puffs of 0.4% PVP-I nasal spray in each nostril. Nasopharyngeal (NP) swabs were collected before the PVP-I spray (baseline, left NP samples), and at 3 minutes (left and right NP samples) and 4 hours post-PVP-I spray (right NP samples). All swabs were coded to blind assessors and transported to diagnostic laboratory and tested by RT-PCR and cultured to measure the viable SARS-CoV-2 within 24 hours after collection. Results: Fourteen patients were enrolled but viable SARS-CoV-2 was cultured from 12 patients (85.7%). The median viral titer at baseline was 3.5 log TCID50/mL (IQR 2.8-4.0 log TCID50/mL). At 3 minutes post-PVP-I spray via the left nostril, viral titers were reduced in 8 patients (66.7%). At 3 minutes post-PVP-I, the median viral titer was 3.4 log TCID50/mL (IQR 1.8-4.4 log TCID50/mL) (P=0.162). At 4 hours post-PVP-I spray via the right nostril, 6 of 11 patients (54.5%) had either the same or minimal change in viral titers. The median viral titer 3 minutes post-PVP-I spray was 2.7 log TCID50/mL (IQR 2.0-3.9 log TCID50/mL). Four hours post-PVP-I spray the median titer was 2.8 log TCID50/mL (IQR 2.2-3.9 log TCID50/mL) (P=0.704). No adverse effects of 0.4% PVP-I nasal spray were detected. Conclusion: The 0.4% PVP-I nasal spray demonstrated minimal virucidal efficacy at 3 minutes post-exposure. At 4 hours post-exposure, the viral titer was considerably unchanged from baseline in 10 cases. The 0.4% PVP-I nasal spray showed poor virucidal activity and is unlikely to reduce transmission of SARS-CoV-2 in prophylaxis use.

Control and complications of diabetes in urban primary care units in Thailand: a cross-sectional study.

BACKGROUND: Primary health care system plays a central role in caring for persons with diabetes. Thai National Health Examination Survey (NHES) reports that only 40% of patients with type 2 diabetes mellitus (T2DM) achieve optimal glycemic control. We sought to evaluate the quality of diabetic care (QOC), prevalence of microvascular complications, and associated risk factors among T2DM patients treated at primary care units in urban areas in Thailand. METHODS: A population-based, cross-sectional study of 488 T2DM patients aged over 35 years from 25 primary care units in Samutsakhon, Thailand was conducted during February 2018 to March 2019. Clinical targets of care (TOC) and processes of care (POC) were measured to evaluate QOC. Multivariate logistic regression models were applied to explore the association between risk factors and glycemic control. RESULTS: 41.2% of women and 44.4% of men achieved hemoglobin A1C (A1C) < 53 mmol/mol, while 31.3% of women and 29.7% of men had poor glycemic control (A1C > 63 mmol/mol). 39 participants (8%) achieved all TOC and 318 participants (65.2%) achieved all POC. Significant risk factors for poor glycemic control included diabetes duration > 6 years (AOR = 1.83, 95% CI = 1.20-2.79), being overweight (AOR = 2.54, 95% CI = 1.58-4.08), obesity (AOR = 1.71, 95% CI = 1.05-2.89), triglycerides > 1.7 mmol/l (AOR = 1.81, 95% CI = 1.25-2.78), low density lipoprotein-cholesterol (LDL-C) ≥ 2.6 mmol/l (AOR = 1.55, 95% CI = 1.04-2.28). On the other hand, participants aged > 65 years (AOR = 0.25, 95% CI = 0.14-0.55) or achieved TOC indicators (AOR = 0.69, 95% CI = 0.43-0.89) were significantly associated with glycemic control. Diabetic retinopathy was significantly related to obesity (AOR = 2.21, 95% CI = 1.00-4.86), over waist circumference (AOR = 2.23, 95% CI = 0.77-2.31), and diastolic blood pressure > 90 mmHg (AOR = 1.81, 95% CI = 1.48-1.96). CONCLUSION: Access to essential diabetic screening in primary care units is crucial to determine status of disease control and guide disease management. Duration of T2DM, high body mass index, triglyceride and LDL-C were independently associated with poor glycemic control. Obesity was highly associated with diabetes retinopathy. Effort should be taken seriously toward monitoring these factors and providing effective care.