Efficacy of migraine prophylaxis treatments for treatment-naïve patients and those with prior treatment failure: a protocol for systematic review and network meta-analysis of randomised controlled trials.

INTRODUCTION: Migraine headache is a significant health problem affecting patients' psychological well-being and quality of life. Several network meta-analyses (NMAs) have compared the efficacy of migraine prophylaxis medications. However, some have focused exclusively on oral medications, while others were limited to injectable medications. Moreover, none of these NMAs conducted a stratified analysis between treatment-naïve patients and those with prior treatment failure. Therefore, this systematic review and NMA will compare the efficacy among all treatments for migraine prophylaxis, stratified by the treatment status of patients (ie, treatment-naïve and previous treatment failure). METHODS AND ANALYSIS: Randomised-controlled trials that included patients with chronic or episodic migraine, assessed the efficacy of oral or injectable treatments for migraine prophylaxis and measured the outcomes as monthly migraine day, monthly headache day, migraine-related disability, health-related quality of life or adverse drug events will be eligible for inclusion in this review. Relevant studies will be searched from Medline, Scopus, the US National Institutes of Health Register, and the World Health Organization International Clinical Trials Registry Platform (WHO-ICTRP) databases since inception through 15 August 2023. Risk of bias assessment will be performed using a revised tool for assessing the risk of bias in randomised trials. Two-stage NMA will be applied to compare relative treatment effects among all treatments of migraine prophylaxis. Surface under the cumulative ranking curve will be applied to estimate and rank the probability to be the best treatment. Consistency assumption will be assessed using a design-by-treatment interaction model. Publication bias will be assessed by comparison-adjusted funnel plot. All analyses will be stratified according to patients' status (ie, treatment-naïve and prior treatment failure). ETHICS AND DISSEMINATION: This study is a systematic review protocol collecting data from published literature and does not require approval from an institutional review board. Results from this systematic review will be published in a peer-reviewed journal. PROSPERO REGISTRATION NUMBER: CRD42020171843.

Updated CRUSADE score to predict in-hospital bleeding: External validation in the Thai percutaneous coronary intervention registry.

BACKGROUND: The Can Rapid Risk Stratification of Unstable Angina Patients Suppress Adverse Outcomes with Early Implementation of the ACC/AHA Guidelines (CRUSADE) score has been recommended to predict in-hospital bleeding risk in non-ST segment elevation myocardial infarction (NSTEMI) patients. The evaluation of the CRUSADE risk score in Asian patients undergoing contemporary percutaneous coronary intervention (PCI) for NSTEMI is necessary. AIMS: We aimed to validate and update the CRUSADE score to predict in-hospital major bleeding in NSTEMI patients treated with PCI. METHOD: The Thai PCI registry is a large, prospective, multicenter PCI registry in Thailand enrolling patients between May 2018 and August 2019. The CRUSADE score was calculated based on 8 predictors including sex, diabetes, prior vascular disease (PVD), congestive heart failure (CHF), creatinine clearance (CrCl), hematocrit, systolic blood pressure, and heart rate (HR). The score was fitted to in-hospital major bleeding using the logistic regression. The original score was revised and updated for simplification. RESULTS: Of 19,701 patients in the Thai PCI registry, 5976 patients presented with NSTEMI. The CRUSADE score was calculated in 5882 patients who had all variables of the score available. Thirty-five percent were female, with a median age of 65.1 years. The proportion of diabetes, PVD, and CHF was 46%, 7.9%, and 11.2%, respectively. The original and revised models of the CRUSADE risk score had C-statistics of 0.817 (95% CI: 0.762-0.871) and 0.839 (95% CI: 0.789-0.889) respectively. The simplified CRUSADE score which contained only four variables (hematocrit, CrCl, HR, and CHF), had C-statistics of 0.837 (0.787-0.886). The calibration of the recalibrated, revised, and simplified model was optimal. CONCLUSIONS: The full and simplified CRUSADE scores performed well in NSTEMI treated with PCI in Thai population.

Which approach of total hip arthroplasty is the best efficacy and least complication?

BACKGROUND: Total hip arthroplasty is as an effective intervention to relieve pain and improve hip function. Approaches of the hip have been exhaustively explored about pros and cons. The efficacy and the complications of hip approaches remains inconclusive. This study conducted an umbrella review to systematically appraise previous meta-analysis (MAs) including conventional posterior approach (PA), and minimally invasive surgeries as the lateral approach (LA), direct anterior approach (DAA), 2-incisions method, mini-lateral approach and the newest technique direct superior approach (DSA) or supercapsular percutaneously-assisted total hip (SuperPath). AIM: To compare the efficacy and complications of hip approaches that have been published in all MAs and randomized controlled trials (RCTs). METHODS: MAs were identified from MEDLINE and Scopus from inception until 2023. RCTs were then updated from the latest MA to September 2023. This study included studies which compared hip approaches and reported at least one outcome such as Harris Hip Score (HHS), dislocation, intra-operative fracture, wound complication, nerve injury, operative time, operative blood loss, length of hospital stay, incision length and VAS pain. Data were independently selected, extracted and assessed by two reviewers. Network MA and cluster rank and surface under the cumulative ranking curve (SUCRA) were estimated for treatment efficacy and safety. RESULTS: Finally, twenty-eight MAs (40 RCTs), and 13 RCTs were retrieved. In total 47 RCTs were included for reanalysis. The results of corrected covered area showed high degree (13.80%). Among 47 RCTs, most of the studies were low risk of bias in part of random process and outcome reporting, while other domains were medium to high risk of bias. DAA significantly provided higher HHS at three months than PA [pooled unstandardized mean difference (USMD): 3.49, 95% confidence interval (CI): 0.98, 6.00 with SUCRA: 85.9], followed by DSA/SuperPath (USMD: 1.57, 95%CI: -1.55, 4.69 with SUCRA: 57.6). All approaches had indifferent dislocation and intraoperative fracture rates. SUCRA comparing early functional outcome and composite complications (dislocation, intra-operative fracture, wound complication, and nerve injury) found DAA was the best approach followed by DSA/SuperPath. CONCLUSION: DSA/SuperPath had better earlier functional outcome than PA, but still could not overcome the result of DAA. This technique might be the other preferred option with acceptable complications.

Impact of coronary CT angiography in selection of treatment modalities and subsequent cardiovascular events in Thai patients with stable CAD.

BACKGROUND: Coronary computed tomography angiography (CCTA) enables improved diagnosis of subclinical, coronary artery disease (CAD). This retrospective cohort study investigated the association between different treatment modalities guided by CCTA and the prevention of major adverse cardiovascular events (MACEs) in patients with stable CAD. METHODS: From 2005 to 2013, a total of 9338 patients, including both asymptomatic individuals with risk factors and symptomatic patients with suspected CAD, who underwent CCTA were analyzed. The patients were categorized into one of three groups based on results of CCTA: obstructive CAD (≥ 50% stenosis in at least one vessel), non-obstructive CAD (1-49% stenosis in at least one vessel), and no observed CAD (0% stenosis). They were subsequently followed up to assess the treatment they received and the occurrence of MACEs (cardiovascular death, non-fatal myocardial infarction, non-fatal stroke, or late revascularization). RESULTS: During an average follow-up period of 9.9 ± 2.4 years, patients with obstructive CAD had the highest incidence of MACEs (19.8%), followed by those with non-obstructive CAD and no coronary artery stenosis (10.3 and 5.5%, respectively). After adjusting for confounding variables, it was found that patients treated with statins alone were the least likely to develop MACEs in all three groups, compared to those receiving no treatment, with hazard ratios (95% CI) of 0.43 (0.32, 0.58), 0.47 (0.34, 0.64), and 0.46 (0.31, 0.69), respectively. In patients with obstructive CAD, treatment with a combination of statin and aspirin, or early revascularization was associated with a lower likelihood of experiencing MACEs compared to no treatment with hazard ratios of 0.43 (0.33, 0.58) and 0.64 (0.43, 0.97), respectively. CONCLUSION: CCTA offers useful guidance for the treatment of patients with stable CAD and shows potential for prevention of CV events. However, the full validation of a given strategy utilizing CCTA will require a prospective longitudinal study, utilizing a randomized clinical trial design.

External validation and revision of Penn incisional hernia prediction model: A large-scale retrospective cohort of abdominal operations.

BACKGROUND: Incisional hernia (IH) manifests in 10%-15% of abdominal surgeries and patients at elevated risk of this complication should be identified for prophylactic intervention. This study aimed to externally validate the Penn hernia risk calculator. METHODS: The Ramathibodi abdominal surgery cohort was constructed by linking relevant hospital databases from 2010 to 2021. Penn hernia risk scores were calculated according to the original model which was externally validated using a seven-step approach. An updated model which included four additional predictor variables (i.e., age, immunosuppressive medication, ostomy reversal, and transfusion) added to those of the three original predictors (i.e., body mass index, chronic liver disease, and open surgery) was also evaluated. The area under the receiver operating characteristic curve (AUC) was estimated, and calibration performance was compared using the Hosmer-Lemeshow goodness-of-fit method for the observed/expected (O/E) ratio. RESULTS: A total of 12,155 abdominal operations were assessed. The original Penn model yielded fair discrimination with an AUC (95% confidence interval (CI)) of 0.645 (0.607, 0.683). The updated model that included the additional predictor variables achieved an acceptable AUC (95% CI) of 0.733 (0.698, 0.768) with the O/E ratio of 0.968 (0.848, 1.088). CONCLUSION: The updated model achieved improved discrimination and calibration performance, and should be considered for the identification of high-risk patients for further hernia prevention strategy.

Delayed versus primary closure to minimize risk of surgical-site infection for complicated appendicitis: A secondary analysis of a randomized trial using counterfactual prediction modeling.

OBJECTIVE: To evaluate the risk of surgical site infection (SSI) following complicated appendectomy in individual patients receiving delayed primary closure (DPC) versus primary closure (PC) after adjustment for individual risk factors. DESIGN: Secondary analysis of randomized controlled trial (RCT) with prediction model. SETTING: Referral centers across Thailand. PARTICIPANTS: Adult patients who underwent appendectomy via a lower-right-quadrant abdominal incision due to complicated appendicitis. METHODS: A secondary analysis of a published RCT was performed applying a counterfactual prediction model considering interventions (PC vs DPC) and other significant predictors. A multivariable logistic regression was applied, and a likelihood-ratio test was used to select significant predictors to retain in a final model. Factual versus counterfactual SSI risks for individual patients along with individual treatment effect (iTE) were estimated. RESULTS: In total, 546 patients (271 PC vs 275 DPC) were included in the analysis. The individualized prediction model consisted of allocated intervention, diabetes, type of complicated appendicitis, fecal contamination, and incision length. The iTE varied between 0.4% and 7% for PC compared to DPC; ∼38.1% of patients would have ≥2.1% lower SSI risk following PC compared to DPC. The greatest risk reduction was identified in diabetes with ruptured appendicitis, fecal contamination, and incision length of 10 cm, where SSI risks were 47.1% and 54.1% for PC and DPC, respectively. CONCLUSIONS: In this secondary analysis, we found that most patients benefited from early PC versus DPC. Findings may be used to inform SSI prevention strategies for patients with complicated appendicitis.

Systematic review of the impact of health care expenditure on health outcome measures: implications for cost-effectiveness thresholds.

OBJECTIVE: Empirical estimates of the impact of healthcare expenditure on health outcome measures may inform the cost-effectiveness threshold (CET) for guiding funding decisions. This study aims to systematically review studies that estimated this, summarize and compare the estimates by country income level. METHODS: We searched PubMed, Scopus, York Research database, and [anonymized] for Reviews and Dissemination database from inception to 1 August 2023. For inclusion, a study had to be an original article, estimating the impact of healthcare expenditure on health outcome measures at a country level, and presented estimates, in terms of cost per quality-adjusted life year (QALY) or disability-adjusted life year (DALY). RESULTS: We included 18 studies with 385 estimates. The median (range) estimates were PPP$ 11,224 (PPP$ 223 - PPP$ 288,816) per QALY gained and PPP$ 5,963 (PPP$ 71 - PPP$ 165,629) per DALY averted. As ratios of Gross Domestic Product per capita (GDPPC), these estimates were 0.376 (0.041-182.840) and 0.318 (0.004-37.315) times of GDPPC, respectively. CONCLUSIONS: The commonly used CET of GDPPC seems to be too high for all countries, but especially low-to-middle-income countries where the potential health losses from misallocation of the same money are greater. REGISTRATION: The review protocol was published and registered in PROSPERO (CRD42020147276).

Development of Risk Prediction Models for Severe Periodontitis in a Thai Population: Statistical and Machine Learning Approaches.

BACKGROUND: Severe periodontitis affects 26% of Thai adults and 11.2% of adults globally and is characterized by the loss of alveolar bone height. Full-mouth examination by periodontal probing is the gold standard for diagnosis but is time- and resource-intensive. A screening model to identify those at high risk of severe periodontitis would offer a targeted approach and aid in reducing the workload for dentists. While statistical modelling by a logistic regression is commonly applied, optimal performance depends on feature selections and engineering. Machine learning has been recently gaining favor given its potential discriminatory power and ability to deal with multiway interactions without the requirements of linear assumptions. OBJECTIVE: We aim to compare the performance of screening models developed using statistical and machine learning approaches for the risk prediction of severe periodontitis. METHODS: This study used data from the prospective Electricity Generating Authority of Thailand cohort. Dental examinations were performed for the 2008 and 2013 surveys. Oral examinations (ie, number of teeth and oral hygiene index and plaque scores), periodontal pocket depth, and gingival recession were performed by dentists. The outcome of interest was severe periodontitis diagnosed by the Centre for Disease Control-American Academy of Periodontology, defined as 2 or more interproximal sites with a clinical attachment level ≥6 mm (on different teeth) and 1 or more interproximal sites with a periodontal pocket depth ≥5 mm. Risk prediction models were developed using mixed-effects logistic regression (MELR), recurrent neural network, mixed-effects support vector machine, and mixed-effects decision tree models. A total of 21 features were considered as predictive features, including 4 demographic characteristics, 2 physical examinations, 4 underlying diseases, 1 medication, 2 risk behaviors, 2 oral features, and 6 laboratory features. RESULTS: A total of 3883 observations from 2086 participants were split into development (n=3112, 80.1%) and validation (n=771, 19.9%) sets with prevalences of periodontitis of 34.4% (n=1070) and 34.1% (n=263), respectively. The final MELR model contained 6 features (gender, education, smoking, diabetes mellitus, number of teeth, and plaque score) with an area under the curve (AUC) of 0.983 (95% CI 0.977-0.989) and positive likelihood ratio (LR+) of 11.9 (95% CI 8.8-16.3). Machine learning yielded lower performance than the MELR model, with AUC (95% CI) and LR+ (95% CI) values of 0.712 (0.669-0.754) and 2.1 (1.8-2.6), respectively, for the recurrent neural network model; 0.698 (0.681-0.734) and 2.1 (1.7-2.6), respectively, for the mixed-effects support vector machine model; and 0.662 (0.621-0.702) and 2.4 (1.9-3.0), respectively, for the mixed-effects decision tree model. CONCLUSIONS: The MELR model might be more useful than machine learning for large-scale screening to identify those at high risk of severe periodontitis for periodontal evaluation. External validation using data from other centers is required to evaluate the generalizability of the model.

Outcomes of direct-acting antivirals in patients with HCV decompensated cirrhosis: a systematic review and meta-analysis.

Background: Direct-acting antivirals (DAA) are effective for chronic hepatitis C virus (HCV) treatment. However, their impact on overall survival (OS), hepatocellular carcinoma (HCC) occurrence, HCC-free survival, and liver function in patients with HCV decompensated cirrhosis remains uncertain. This study aimed to evaluate the effects of DAA treatment on this population. Methods: Studies were identified by searching the MEDLINE, SCOPUS, and CENTRAL databases. OS and HCC-free survival probabilities and time data were extracted from Kaplan-Meier curves. A one-stage meta-analysis using parametric Weibull regression was conducted to estimate the relative treatment effects of DAA vs. no DAA. The primary outcome was the OS rate. The secondary outcomes were HCC-free survival, HCC occurrence rate, and improvement in the Model for End-stage Liver Disease (MELD) score. Results: Eight cohorts comprising 3,430 participants (2,603 in the DAA group and 1,999 in the no-DAA group) were included. The OS probabilities at 12 and 24 months were 95 and 90% for the DAA group, respectively, compared with 89 and 80% in the no-DAA group, respectively. Hazard ratio (HR) was 0.48 (95% confidence interval (CI): 0.39, 0.60; p < 0.001). The HCC-free survival probabilities at 12 and 24 months were 96 and 90%, respectively, in the former, and 94 and 85%, respectively, in the latter. The HR of HCC occurrence was 0.72 (95% CI: 0.52, 1.00; p = 0.05), which suggests that DAA treatment in decompensated cirrhosis may lead to a 28% lower risk of HCC occurrence. The mean MELD score difference was -7.75 (95% CI: -14.52, -0.98; p = 0.02). Conclusion: Improvement in OS and MELD score is a long-term benefit of DAA treatment in patients with HCV decompensated cirrhosis, with a marginal effect of the treatment on HCC development.

Efficacy of Treatment for Metastatic Hormone-Sensitive Prostate Cancer: An Umbrella Review of Systematic Reviews and Meta-Analyses.

PURPOSE: This umbrella review focused on evaluating the efficacy and adverse events of the metastatic hormone-sensitive prostate cancer patients receiving any treatment regimens, including ADT alone or combination treatments. METHODS: This study conducted an umbrella review following the PRISMA 2020 checklist, aiming to summarize the available studies to evaluate the efficacy of medical treatments for metastatic hormone-sensitive prostate cancer. A literature search was performed to identify systematic reviews and meta-analyses (SRMAs) that included only randomized controlled trials (RCTs) up to September 2023. This study summarized their findings, evaluated overlapping data (i.e., the same RCTs were included in >one SRMA), tested for excessive significance (i.e., observed number of statistically significant studies > expected number by chance) and assessed the quality of the studies. RESULTS: A total of 4191 studies were identified, but only 27 were included. Among those 27 studies, 12 were network meta-analyses and 15 were direct meta-analyses. Most studies showed no statistically significant difference in overall mortality among GnRH agonists, antagonists and bilateral orchiectomy. Combination treatment is more beneficial than ADT alone in both OS and PFS outcomes with more adverse events. Nevertheless, there is no OS advantage of any combination regimen over the others. CONCLUSION: Combination treatments demonstrated clear benefits in OS and PFS over ADT alone with more AEs. Further studies are needed to compare among combination treatments.

Factors associated with health-related quality of life in patients undergoing percutaneous coronary intervention: Thai PCI registry.

Background: Percutaneous coronary intervention (PCI) has been shown to improve health-related quality of life (HRQoL) in patients with coronary artery disease (CAD). The objectives of this study were to assess the changes in HRQoL and factors influencing these changes in CAD patients after undergoing PCI. Methods: Data from a nationwide PCI registry across 39 hospitals in Thailand were collected in 2018-2019, including baseline characteristics, comorbid diseases, angiographic CAD severity, procedural details, and type of health insurance. HRQoL, as measured by utility scores, was determined in all patients using the Thai version of EQ-5D-5l at admission, discharge, and 6 and 12 months after discharge. The effects of time after PCI procedure and various factors on mean utility scores were assessed using a mixed-effect linear regression model. Results: A total of 19,701 patients were included in the analysis; they had a mean age of 64.2 ± 11.7 years and were predominantly (69.1%) male. Following PCI, the mean utility scores increased from 66.6 ± 19.6 at admission to 81.9 ± 13.8 at discharge, and remained stable at 6 and 12 months (86.1 ± 12.3 and 88.0 ± 11.7, respectively). After adjusting for potential confounding variables, several factors were found to be independently associated with improved HRQoL, including angiographic success, male gender, overweight status, dyslipidemia, and radial access. Six other factors were associated with less improved HRQoLs, including cardiogenic shock/IABP support, old age, CKD, clinical presentation (STEMI and NSTEMI), prior cerebrovascular disease, and heart failure. There were no associations of CAD severity and procedural details with HRQoL. No differences were found related to type of health insurance, except that patients who were uninsured or self-pay tended to have less improvement in HRQoL. Conclusion: HRQoL improved significantly after PCI in these subjects, as observed through 1 year of follow-up. Identifying the factors influencing these improvements may assist clinicians in tailoring patient interventions to optimise quality of life after PCI.

Utility of coronary artery calcium in refining 10-year ASCVD risk prediction using a Thai CV risk score.

Background: Coronary artery calcium (CAC) scanning is a valuable additional tool for calculating the risk of cardiovascular (CV) events. We aimed to determine if a CAC score could improve performance of a Thai CV risk score in prediction of 10-year atherosclerotic cardiovascular disease (ASCVD) risk for asymptomatic patients with CV risk factors. Methods: This was a retrospective cohort study that enrolled asymptomatic patients with CV risk factors who underwent CAC scans between 2005 and 2013. The patients were classified as low-, intermediate-, or high-risk (<10%, 10%-<20%, and ≥20%, respectively) of having ASCVD within 10-years based on a Thai CV risk score. In each patient, CAC score was considered as a categorical variable (0, 1-99, and ≥100) and natural-log variable to assess the risk of developing CV events (CV death, non-fatal MI, or non-fatal stroke). The C statistic and the net reclassification improvement (NRI) index were applied to assess whether CAC improved ASCVD risk prediction. Results: A total of 6,964 patients were analyzed (mean age: 59.0 ± 8.4 years; 63.3% women). The majority of patients were classified as low- or intermediate-risk (75.3% and 20.5%, respectively), whereas only 4.2% were classified as high-risk. Nearly half (49.7%) of patients had a CAC score of zero (no calcifications detected), while 32.0% had scores of 1-99, and 18.3% of ≥100. In the low- and intermediate-risk groups, patients with a CAC ≥100 experienced higher rates of CV events, with hazard ratios (95% CI) of 1.95 (1.35, 2.81) and 3.04 (2.26, 4.10), respectively. Incorporation of ln(CAC + 1) into their Thai CV risk scores improved the C statistic from 0.703 (0.68, 0.72) to 0.716 (0.69, 0.74), and resulted in an NRI index of 0.06 (0.02, 0.10). To enhance the performance of the Thai CV risk score, a revision of the CV risk model was performed, incorporating ln(CAC + 1), which further increased the C statistic to 0.771 (0.755, 0.788). Conclusion: The addition of CAC to traditional risk factors improved CV risk stratification and ASCVD prediction. Whether this adjustment leads to a reduction in CV events and is cost-effective will require further assessment.

Comparative cardiovascular outcomes of novel drugs as an addition to conventional triple therapy for heart failure with reduced ejection fraction (HFrEF): a network meta-analysis of randomised controlled trials.

BACKGROUND: Currently, there is no head-to-head comparison of novel pharmacological treatments for heart failure with reduced ejection fraction (HFrEF). A network meta-analysis aimed to compare effects of both conventional and alternative drug combinations on time to develop primary composite outcome of cardiovascular death or heart failure hospitalisation (PCO). METHODS: Randomised controlled trials (RCTs) were identified from Medline, Scopus up to June 2021. The RCTs were included if comparing any single or combination of drugs, that is, ACE inhibitors (ACEI), angiotensin receptor blockers, beta-blockers (BB), mineralocorticoid receptor antagonists (MRA), ivabradine (IVA), angiotensin receptor blocker/neprilysin inhibitors (ARNI) and sodium-glucose cotransporter-2 inhibitors (SGLT2i), soluble guanylyl cyclase and omecamtiv mecarbil and reporting PCO. Data were extracted from Kaplan-Meier curves, individual patient data were generated. A mixed-effect Weibull regression was applied. Median time to PCO, HRs with 95% CI were estimated accordingly. Our findings suggested that ACEI+BB+MRA+SGLT2i, BB+MRA+ARNI, and ACEI+BB+MRA+IVA had lower probability of PCOs than the conventional triple therapy (ACEI+BB+MRA). RESULTS: Median time to PCOs of ACEI+BB+MRA was 57.7 months whereas median times to those new combinations were longer than 57.7 months. In addition, the three new regimens had a significantly lower PCO risks than ACEI+BB+MRA, with the HRs (95% CI) of 0.51 (0.43 to 0.61), 0.55 (0.46 to 0.65) and 0.56 (0.47 to 0.67), accordingly. CONCLUSION: This study suggested that SGLT2i, ARNI and IVA in addition to ACEI+BB+MRA may be better in prolonging time to develop PCO in HFrEF patients.

Door-to-device time and mortality in patients with ST-elevation myocardial infarction treated with primary percutaneous coronary intervention: insight from real world data of Thai PCI Registry.

Background: Timely reperfusion therapy is recommended for patients with ST-segment elevation myocardial infarction (STEMI), and system delay <90 minutes and door-to-device (D2D) time <60 minutes are recommended by the 2017 ESC Guidelines for the management of STEMI patients and have been proposed as a performance measure for triaging patients for primary percutaneous coronary intervention (PCI). However, previous research produced contradictory results regarding the association between D2D time and mortality. Therefore, this study aimed to examine the associations between D2D time and mortality in Thailand. Methods: This cohort study included STEMI patients treated with primary PCI in 39 PCI centres in Thailand from February 27, 2018, to August 1, 2019. Patients were eligible if they met the following criteria: primary STEMI diagnosis, symptom onset within 12 hours, and ST-segment elevation of at least 0.1 mV in 2 or more contiguous leads (at least 0.2 mV in V1-V3) or a new left bundle branch block. Results: Within 12 hours of symptom onset, 3,874 patients underwent primary PCI. The median D2D time was 54 minutes [interquartile range (IQR) 29-90], and there was a significant difference between patients transferred from other hospitals (44 minutes, IQR 25-77, n=2,871) and patients presented directly to PCI centres (81 minutes, IQR 56-129, n=1,003) (P<0.001). Overall, in-hospital mortality was 7.8%. In a multivariable analysis, adjusting for other predictors of mortality and stratifying according to intervals of D2D time, cumulative in-hospital mortality was significantly higher in patients with a D2D time greater than 90 minutes [hazard ratio (HR) 1.5, 95% confidence interval (CI): 1.0-2.1, P=0.046] but not associated with D2D time shorter than 60 minutes (HR 1.2, 95% CI: 0.8-1.8, P=0.319). Conclusions: A D2D time greater than 90 minutes was related to in-hospital mortality in patients with STEMI treated with primary PCI, but a D2D time less than 60 minutes was not consistently associated with D2D time-improved survival in real-world, contemporary practice in Thailand.

Cost-effectiveness analysis of isolation strategies for asymptomatic and mild symptom COVID-19 patients.

BACKGROUND: Management of COVID-19 patients with mild and moderate symptoms could be isolated at home isolation (HI), community isolation (CI) or hospitel. However, it was still unclear which strategy was more cost-effective. Therefore, this study was conducted to evaluate this. METHODS: This study used data from patients who initially stayed at HI, CI, and hospitel under supervision of Ramathibodi Hospital between April and October 2021. Outcomes of interest were hospitalisation and mortality. An incremental cost-effectiveness ratios (ICER) was calculated based on hospital perspective using home isolation as the reference. RESULTS: From 7,077 patients, 4,349 2,356, and 372 were admitted at hospitel, HI, and CI, respectively. Most patients were females (57.04%) and the mean age was 40.42 (SD = 16.15). Average durations of stay were 4.47, 3.35, and 3.91 days for HI, CI, and hospitel, respectively. The average cost per day for staying in these corresponding places were 24.22, 63.69, and 65.23 US$. For hospitalisation, the ICER for hospitel was at 41.93 US$ to avoid one hospitalisation in 1,000 patients when compared to HI, while CI had more cost, but less cases avoided. The ICER for hospitel and CI were at 46.21 and 866.17 US$ to avoid one death in 1,000 patients. CONCLUSIONS: HI may be cost-effective isolated strategy for preventing hospitalisation and death in developing countries with limited resources.

Proteomic analysis investigating kidney transplantation outcomes- a scoping review.

BACKGROUND: Kidney transplantation is the optimal treatment option for most patients with end-stage kidney disease given the significantly lower morbidity and mortality rates compared to remaining on dialysis. Rejection and graft failure remain common in transplant recipients with limited improvement in long-term transplant outcomes despite therapeutic advances. There is an unmet need in the development of non-invasive biomarkers that specifically monitor graft function and predict transplant pathologies that affect outcomes. Despite the potential of proteomic investigatory approaches, up to now, no candidate biomarkers of sufficient sensitivity or specificity have translated into clinical use. The aim of this review was to collate and summarise protein findings and protein pathways implicated in the literature to date, and potentially flag putative biomarkers worth validating in independent patient cohorts. METHODS: This review followed the Joanna Briggs' Institute Methodology for a scoping review. MedlineALL, Embase, Web of Science Core Collection, Scopus and Google Scholar databases were searched from inception until December 2022. Abstract and full text review were undertaken independently by two reviewers. Data was collated using a pre-designed data extraction tool. RESULTS: One hundred one articles met the inclusion criteria. The majority were single-centre retrospective studies of small sample size. Mass spectrometry was the most used technique to evaluate differentially expressed proteins between diagnostic groups and studies identified various candidate biomarkers such as immune or structural proteins. DISCUSSION: Putative immune or structural protein candidate biomarkers have been identified using proteomic techniques in multiple sample types including urine, serum and fluid used to perfuse donor kidneys. The most consistent findings implicated proteins associated with tubular dysfunction and immunological regulatory pathways such as leukocyte trafficking. However, clinical translation and adoption of candidate biomarkers is limited, and these will require comprehensive evaluation in larger prospective, multicentre trials.

Rituximab for the treatment of relapsing-remitting multiple sclerosis in Thailand: an economic evaluation and budget impact analysis.

BACKGROUND: Multiple sclerosis is an inflammatory demyelination process in the central nervous system (CNS) causing neurological disability and poor quality of life. Currently, Thai Food and Drug Administration (FDA)-approved disease-modifying therapy is costly, and most patients with multiple sclerosis are ineligible for treatment in Thailand as previous studies have challenged its cost-effectiveness. Off-label use of rituximab is inexpensive and highly effective in treating multiple sclerosis, but evidence of its cost-effectiveness in Thailand is yet to be collected. METHODS: This study aimed to evaluate the cost-utility and budget impact of rituximab for multiple sclerosis treatment compared with best supportive care, the standard practice in Thailand to treat the disease. A Markov model with a one-month cycle length and lifetime horizon was applied to compare the costs and outcomes of rituximab and best supportive care based on a societal perspective. Accordingly, incremental cost-effectiveness ratios were estimated. Probabilistic and one-way sensitivity analyses were conducted to investigate parameter uncertainty. In addition, the Markov model was used to assess the 5-year budget impact from the government perspective. RESULTS: A rituximab biosimilar demonstrated higher effectiveness and lower associated costs, compared to best supportive care, with the highest probability of being cost-effective (96%). The probability of relapse was the most sensitive parameter according to the one-way sensitivity analysis. The calculated budget impact of treating patients with multiple sclerosis in Thailand was 26,360,000 Thai baht (THB) or 844,255 United States dollars (USD) in the first fiscal year, and approximately 20,810,000-23,080,000 THB (666,608-739,388 USD) in the next four fiscal years. CONCLUSION: In Thailand, a rituximab biosimilar would reduce the overall costs of multiple sclerosis treatment and should, therefore, be included in the National List of Essential Medicines.

Efficacy of Time-Restricted Eating and Behavioral Economic Intervention in Reducing Fasting Plasma Glucose, HbA1c, and Cardiometabolic Risk Factors in Patients with Impaired Fasting Glucose: A Randomized Controlled Trial.

This randomized controlled trial is aimed at assessing the efficacy of combining time-restricted eating (TRE) with behavioral economic (BE) interventions and comparing it to TRE alone and to the usual care for reducing fasting plasma glucose (FPG), hemoglobin A1c (HbA1c), and other cardiometabolic risk factors among patients with impaired fasting glucose (IFG). Seventy-two IFG patients aged 18-65 years were randomly allocated for TRE with BE interventions (26 patients), TRE alone (24 patients), or usual care (22 patients). Mean FPG, HbA1c, and other cardiometabolic risk factors among the three groups were compared using a mixed-effect linear regression analysis. Mean body weight, FPG, HbA1c, fasting insulin, and lipid profiles did not significantly differ among the three groups. When considering only patients who were able to comply with the TRE protocol, the TRE group showed significantly lower mean FPG, HbA1c, and fasting insulin levels compared to the usual care group. Our results did not show significant differences in body weight, blood sugar, fasting insulin, or lipid profiles between TRE plus BE interventions, TRE alone, and usual care groups. However, TRE might be an effective intervention in lowering blood sugar levels for IFG patients who were able to adhere to the TRE protocol.

Efficacy of anti-tuberculosis drugs for the treatment of latent tuberculosis infection: a systematic review and network meta-analysis.

Despite the availability of three network meta-analyses (NMA) examining the efficacy, treatment completion, and adverse events associated with all latent tuberculosis infection (LTBI) treatments, there is currently no evidence to support the notion that the benefits of these treatments outweigh the potential risks. This NMA aimed to conduct a comprehensive comparison and update of the efficacy, treatment completion rates and adverse events associated with recommended treatment options for LTBI for individuals with confirmed LTBI, as outlined in the 2020 World Health Organization (WHO) Consolidated Guidelines for TB preventive treatment. A comprehensive search of the MEDLINE and Scopus databases was conducted until April 2023. The NMA was applied to estimate the risk difference and corresponding 95% confidence interval (CI) using a combination of direct and indirect evidence. The risk-benefit assessment was employed to evaluate the feasibility of the extra benefits in relation to the extra risks. The primary outcomes of interest in this study were active TB disease, completion rates, and adverse events. The meta-analysis incorporated data from 15 studies, which collectively demonstrated that the administration of a placebo resulted in a significant increase in the risk of developing TB disease by 1.279%, compared to the daily intake of isoniazid for 6 months (6H). Furthermore, treatment completion rates were significantly higher when using isoniazid plus rifapentine weekly for 3 months (3HP) and rifampicin daily for 4 months (4R), as compared to 6H. Considering adverse events, the combination of 3HP, 4R, and isoniazid administered daily for 9 months (referred to as 9H) significantly decreased adverse events by 4.53% in comparison to 6H. The risk-benefit assessment showed that alternative treatment regimens (9H, 4R, 3HR and 3HP) had a lower incidence of adverse events, while demonstrating a higher efficacy in preventing TB, as compared to 6H. This review indicates that there were no significant differences observed among various active treatment options in terms of their efficacy in preventing active TB. Moreover, completion rates were higher in 3HP and 4R, and a reduction in adverse events was observed in 3HP, 4R, and 9H.

Optimizing the Yield of Abnormal Preoperative Chest Radiographs in Elective Non-cardiothoracic Surgery: Development of a Risk Prediction Score and External Validation.

BACKGROUND: Guideline recommendations for preoperative chest radiographs vary to the extent that individual patient benefit is unclear. We developed and validated a prediction score for abnormal preoperative chest radiographs in adult patients undergoing elective non-cardiothoracic surgery. METHODS: Our prospective observational study recruited 703 adult patients who underwent elective non-cardiothoracic surgery at Ramathibodi Hospital. We developed a risk prediction score for abnormal preoperative chest radiographs with external validation using data from 411 patients recruited from Thammasat University Hospital. The discriminative performance was assessed by receiver operating curve analysis. In addition, we assessed the contribution of abnormal chest radiographs to perioperative management. RESULTS: Abnormal preoperative chest radiographs were found in 19.5% of the 703 patients. Age, pulmonary disease, cardiac disease, and diabetes were significant factors. The model showed good performance with a C-statistics of 0.739 (95% CI, 0.691-0.786). We classified patients into four groups based on risk scores. The posttest probabilities in the intermediate-, intermediate-high-, and high-risk groups were 33.2%, 59.8%, and 75.7%, respectively. The model fitted well with the external validation data with a C statistic of 0.731 (95% CI, 0.674-0.789). One (0.4%) abnormal chest radiograph from the low-risk group and three (2.4%) abnormal chest radiographs from the intermediate-to-high-risk group had a major impact on perioperative management. CONCLUSIONS: Four predictors including age, pulmonary disease, cardiac disease, and diabetes were associated with abnormal preoperative chest radiographs. Our risk score demonstrated good performance and may help identify patients at higher risk of chest abnormalities.