Few studies have identified the metabolic consequences of the post-acute phase of nonsevere COVID-19. This prospective study examined metabolic outcomes and associated factors in nonsevere, RT-PCR-confirmed COVID-19. The participants’ metabolic parameters, the prevalence of long-term multiple metabolic abnormalities (≥ 2 components), and factors influencing the prevalence were assessed at 1, 3, and 6 months post-onset. Six hundred individuals (mean age 45.5 ± 14.5 years, 61.7% female, 38% high-risk individuals) with nonsevere COVID-19 attended at least one follow-up visit. The prevalence of worsening metabolic abnormalities was 26.0% for BMI, 43.2% for glucose, 40.5% for LDL-c, 19.1% for liver, and 14.8% for C-reactive protein. Except for lipids, metabolic-component abnormalities were more prevalent in high-risk hosts than in healthy individuals. The prevalence of multiple metabolic abnormalities at the 6-month follow-up was 41.3% and significantly higher in high-risk than healthy hosts (49.2% vs 36.5%; P = 0.007). Factors independently associated with a lower risk of these abnormalities were being female, having dyslipidemia, and receiving at least 3 doses of the COVID-19 vaccine. These findings suggest that multiple metabolic abnormalities are the long-term consequences of COVID-19. For both high-risk and healthy individuals with nonsevere COVID-19, healthcare providers should monitor metabolic profiles, encourage healthy behaviors, and ensure complete vaccination.

Background: Non-alcoholic steatohepatitis (NASH) has been recognised as a significant form of chronic liver disease and a common cause of cirrhosis and hepatocellular carcinoma, resulting in a considerable financial burden on healthcare resources. Currently, there is no information regarding the economic burden of NASH in low- and middle-income countries (LMICs). The aim of this study was to estimate the economic burden of NASH in Thailand as a lesson learned for LMICs. Methods: To estimate the healthcare costs and prevalence of NASH with significant fibrosis (fibrosis stage ≥ 2) in the general Thai population, an eleven-state lifetime horizon Markov model with 1-year cycle length was performed. The model comprised Thai population aged 18 years and older. The cohort size was based on Thailand Official Statistic Registration Systems. The incidence of NASH, transitional probabilities, and costs-of-illness were based on previously published literature, including systematic reviews and meta-analyses. The age-specific prevalence of NASH was based on Thai NASH registry data. Costs were expressed in 2019 US Dollars ($). As we undertook analysis from the payer perspective, only direct medical costs were included. All future costs were discounted at an annual rate of 3%. A series of sensitivity analyses were performed. Results: The estimated total number of patients with significant NASH was 2.9 million cases in 2019, based on a NASH prevalence of 5.74%. The total lifetime cost of significant NASH was $15.2 billion ($5,147 per case), representing approximately 3% of the 2019 GDP of Thailand. The probabilistic sensitivity analysis showed that the lifetime costs of significant NASH varied from $11.4 billion to $18.2 billion. Conclusions: The economic burden associated with NASH is substantial in Thailand. This prompts clinicians and policy makers to consider strategies for NASH prevention and management.

Objectives: In 2021, Thailand experienced its fourth and fifth waves of COVID-19, overwhelming the nation’s public health system. The significant gap between health resources and the demand for services from patients was one of the primary challenges in responding to the catastrophic COVID-19 pandemic. Hospitals were inundated with a surge in new patients, leading to a growing backlog of individuals suffering delayed care or even rejection from the healthcare system. To tackle this issue, strategies such as “outpatient self-isolation” (SI), “home-based isolation” (HI), and “community-based isolation” (CI) were implemented to stabilize COVID-19 cases with mild to moderate symptoms. This review aimed to explore the experiences in the management of COVID-19 care in patients with mild to moderate symptoms and identify challenges after the initial response of the Thailand health system to the pandemic. Methods: This study was conducted during the Delta pandemic (June–November 2021) and the Omicron pandemic (December 2021–15 March 2022). We present the lessons learned from the management of the HI system based on experiences gained at a university hospital, which provided remote professional-to-patient support during the pandemic. The study involved retrospective data from electronic medical records and qualitative analysis of responses provided during the pandemic using the HI system. Results: Data from a total of 2704 and 1912 participants were included in the analysis. The vast majority of patients were assigned to HI immediately after being diagnosed with COVID-19. This system facilitated remote consultations, provision of necessary medications, and delivery of survival kits to patients’ homes. Qualitative reviews indicated several key factors that could contribute to successful COVID-19 management under the HI system: (1) effective management and vaccine status, (2) establishment of home isolation using the find-test-trace-isolate-support system, and (3) adherence to home isolation guidelines and system support. Challenges included the digitalization of tools for securing isolation, team preparedness and adequate support system during HI, as well as hospital policies for psychological support for healthcare workers and measures to alleviate their workload. Conclusions: Our investigation suggests that the HI teleconsultation system was an effective approach to managing COVID-19. It allowed for a prompt response to patients’ needs and provided timely access to medical support, particularly for individuals with mild to moderate symptoms.

Although death certificates (DCs) provide valuable health information which may help to guide local health policies and priorities, there is little information concerning their validity in Thailand. First-year general practitioners (GPs) have a major role in DC completion, especially in provincial general hospitals. The aim of this study was to evaluate the accuracy and factors influencing the accuracy of DCs completed by first-year GPs in Thailand, compared with the cause of death (COD) derived from medical records by experts. This retrospective study was conducted at 14 provincial general hospitals in Thailand during the June 2011 to May 2012 study period. Medical records and DCs completed by first-year GPs who graduated from 16 Thai medical schools were sampled. The cause of death recorded on the DCs was compared with the medical conditions and histories derived from patient medical records. A cross-sectional survey of the 210 GPs who completed the DCs reviewed in this study was also conducted. Respondent GPs’ demographic characteristics, factors associated with COD, and COD coding system were evaluated. Five hundred and sixty-three medical records and corresponding DCs were included. Of those, 36.9% of DCs were found to be correct. Common mistakes included incorrect sequence of events leading to death (32.4%), and mode of death use (26.2%). Of the 210 GPs, 155 questionnaires were completed and returned. The mean time spent on recording COD and completing DCs in the medical school curriculum was 2.1 ± 0.9 h and only 27.7% of participants had experience in completing DCs by themselves during medical school. Mean medical school GPA was significantly higher in the correctly completed DC GPs group than in the incorrectly completed DC GPs group (3.3 ± 0.4 vs. 3.2 ± 0.3; p = 0.03). However, no significant difference was found for other factors associated with COD between groups. This is the first study documenting gaps and disparities in DC accuracy, and factors influencing completion of DCs among first-year GPs in Thailand, based on a clinical assessment of medical records. GPs made errors on 63.1% of DCs. This finding suggests that proven education, system-related support, and additional training interventions specific to DC completion are required.

Introduction: The incidences of diabetes and diabetic retinopathy (DR) in Thai high-risk individuals with prediabetes have not been identified. This study compared diabetes and DR incidences among people at risk with different glycemic levels, using fasting plasma glucose (FPG) and hemoglobin A1C (HbA1c).Materials and methods: A historical cohort study estimating risk of type 2 diabetes and DR was conducted among outpatients, using FPG and HbA1c measurements at recruitment and monitored for ≥5 years. High-risk participants (defined as having metabolic syndrome or atherosclerotic cardiovascular disease) were categorized by glycemic level into 4 groups: 1) impaired fasting glucose (IFG)-/HbA1c- (FPG <110 mg/dl; HbA1c < 6.0%); 2) IFG+/HbA1c- (FPG 110–125 mg/dl; HbA1c < 6.0%); 3) IFG-/HbA1c+ (FPG <110 mg/dl; HbA1c 6.0%–6.4%); and 4) IFG+/HbA1c+ (FPG 110–125 mg/dl; HbA1c 6.0%–6.4%). The incidences of type 2 diabetes mellitus (T2DM) and DR were obtained and estimated using Kaplan-Meier analysis. Cox regression models explored hazard ratios (HRs).Results: We recruited 8,977 people at risk (metabolic syndrome, 89.9%; atherosclerotic cardiovascular disease, 16.9%). The baseline cohort consisted of 1) IFG-/HbA1c- (n = 4,221; 47.0%); 2) IFG+/HbA1c- (n = 1,274; 14.2%); 3) IFG-/HbA1c+ (n = 2,151; 24.0%); and 4) IFG+/HbA1c+ (n = 1,331; 14.8%). Their 5-year T2DM incidences were 16.0%, 26.4%, 30.8%, and 48.5% (p < 0.001). The median DR follow-up was 7.8 years (interquartile range, 7.0–8.4 years). The DR incidences were 0.50, 0.63, 1.44, and 2.68/1,000 person-years (p < 0.001) for IFG-/HbA1c-, IFG+/HbA1c-, IFG-/HbA1c+, and IFG+/HbA1c+, respectively. Compared with IFG-/HbA1c-, the multivariable-adjusted HRs (95% CI) for incident diabetes were 1.94 (1.34–2.80), 2.45 (1.83–3.29), and 4.56 (3.39–6.15) for IFG+/HbA1c-, IFG-/HbA1c+, and IFG+/HbA1c+, respectively. As for incident DR, the corresponding HRs were 0.67 (0.08–5.76), 4.74 (1.69–13.31), and 5.46 (1.82–16.39), respectively.Conclusion: The 5-year incidence of T2DM in Thai high-risk participants with prediabetes was very high. The incidences of diabetes and DR significantly increased with higher degrees of dysglycemia. High-risk people with FPG 110–125 mg/dl and HbA1c 6.0%–6.4% were more likely to develop T2DM and DR. Such individuals should receive priority lifestyle and pharmacological management.

Over half of metabolic syndrome (MetS) patients have nonalcoholic fatty liver disease (NAFLD). To prevent its complications, standard routine screening is required, but the human-resource and budgetary implications need to be taken into consideration. This study compared the performances of 4 noninvasive scoring systems in predicting NAFLD in MetS patients. They were the fatty liver index, hepatic steatosis index, lipid accumulation product index, and nonalcoholic fatty liver disease in metabolic syndrome patients scoring system (NAFLD-MS). Scores were determined for 499 MetS patients, including 249 patients in a type 2 diabetes mellitus (T2DM) subgroup. Ultrasonography was used to diagnose NAFLD. The accuracies and performance of the scoring systems were analyzed using published cutoff values, and comparisons were made of their areas under receiver operating characteristic curves, sensitivities, specificities, positive and negative predictive values, and likelihood ratios. NAFLD was detected in 68% of the MetS patients and 77% of the MetS patients with T2DM. According to the areas under receiver operating characteristic curves, fatty liver index and hepatic steatosis index provided better performances in predicting NAFLD. NAFLD-MS provided the highest specificity of 99% among the MetS patients as a whole, and it provided even better accuracy with similar performance when applied to the subgroup of MetS patients with T2DM. The maximum cost avoidance from unnecessary ultrasonography was also reported by using NAFLD-MS. In terms of simplicity and ease of calculation, the lipid accumulation product index and NAFLD-MS are preferred. All 4 scoring systems proved to be acceptable for predicting NAFLD among MetS and T2DM patients in settings where the availability of ultrasonography is limited. NAFLD-MS provided the highest specificity and cost avoidance, and it is simple to use. All 4 systems can help clinicians decide further investigations.