Artificial intelligence for automated detection and measurements of carpal instability signs on conventional radiographs.

OBJECTIVES: To develop and validate an artificial intelligence (AI) system for measuring and detecting signs of carpal instability on conventional radiographs. MATERIALS AND METHODS: Two case-control datasets of hand and wrist radiographs were retrospectively acquired at three hospitals (hospitals A, B, and C). Dataset 1 (2178 radiographs from 1993 patients, hospitals A and B, 2018-2019) was used for developing an AI system for measuring scapholunate (SL) joint distances, SL and capitolunate (CL) angles, and carpal arc interruptions. Dataset 2 (481 radiographs from 217 patients, hospital C, 2017-2021) was used for testing, and with a subsample (174 radiographs from 87 patients), an observer study was conducted to compare its performance to five clinicians. Evaluation metrics included mean absolute error (MAE), sensitivity, and specificity. RESULTS: Dataset 2 included 258 SL distances, 189 SL angles, 191 CL angles, and 217 carpal arc labels obtained from 217 patients (mean age, 51 years ± 23 [standard deviation]; 133 women). The MAE in measuring SL distances, SL angles, and CL angles was respectively 0.65 mm (95%CI: 0.59, 0.72), 7.9 degrees (95%CI: 7.0, 8.9), and 5.9 degrees (95%CI: 5.2, 6.6). The sensitivity and specificity for detecting arc interruptions were 83% (95%CI: 74, 91) and 64% (95%CI: 56, 71). The measurements were largely comparable to those of the clinicians, while arc interruption detections were more accurate than those of most clinicians. CONCLUSION: This study demonstrates that a newly developed automated AI system accurately measures and detects signs of carpal instability on conventional radiographs. CLINICAL RELEVANCE STATEMENT: This system has the potential to improve detections of carpal arc interruptions and could be a promising tool for supporting clinicians in detecting carpal instability.

Application of Cas12j for Streptomyces Editing.

In recent years, CRISPR-Cas toolboxes for Streptomyces editing have rapidly accelerated natural product discovery and engineering. However, Cas efficiencies are oftentimes strain-dependent, and the commonly used Streptococcus pyogenes Cas9 (SpCas9) is notorious for having high levels of off-target toxicity effects. Thus, a variety of Cas proteins is required for greater flexibility of genetic manipulation within a wider range of Streptomyces strains. This study explored the first use of Acidaminococcus sp. Cas12j, a hypercompact Cas12 subfamily, for genome editing in Streptomyces and its potential in activating silent biosynthetic gene clusters (BGCs) to enhance natural product synthesis. While the editing efficiencies of Cas12j were not as high as previously reported efficiencies of Cas12a and Cas9, Cas12j exhibited higher transformation efficiencies compared to SpCas9. Furthermore, Cas12j demonstrated significantly improved editing efficiencies compared to Cas12a in activating BGCs in Streptomyces sp. A34053, a strain wherein both SpCas9 and Cas12a faced limitations in accessing the genome. Overall, this study expanded the repertoire of Cas proteins for genome editing in actinomycetes and highlighted not only the potential of recently characterized Cas12j in Streptomyces but also the importance of having an extensive genetic toolbox for improving the editing success of these beneficial microbes.

Secondary use of genomic data: patients' decisions at point of testing and perspectives to inform international data sharing.

International sharing of genomic data files arising from clinical testing of patients is essential to further improve genomic medicine. Whilst the general public are reluctant to donate DNA for research, the choices patients actually make about sharing their clinical genomic data for future re-use (research or clinical) are unknown. We ascertained the data-sharing choices of 1515 patients having genomic testing for inherited conditions or cancer treatment from clinical consent forms. To understand the experiences and preferences of these patients, surveys were administered after test consent (RR 73%). Almost all patients (98%) consented to share their data. Survey respondents' decision recall was high (90%), but poorer if English was an additional language (p < 0.001). Parents deciding on behalf of children were over-represented amongst data-sharing decliners (p = 0.047) and decliners were more likely to believe that stored data could be easily reidentified (p < 0.001). A quarter of respondents did not know if reidentification would be easy and 44% of them were concerned about this possibility. Of those willing to share data overseas (60%), 23% indicated the recipient researcher's country would affect their decision. Most respondents (89%) desired some ongoing control over research use of their data. Four preliminary data-sharing profiles emerged; their further development could inform tailored patient resources. Our results highlight considerations for establishment of systems to make clinical genomic data files available for reanalysis locally and across borders. Patients' willingness to share their data - and value of the resulting research - should encourage clinical laboratories to consider sharing data systematically for secondary uses.

Evaluation of a two-step model of opportunistic genomic screening.

Increasing use of diagnostic genomic sequencing is pushing health services to confront the issue of opportunistic genomic screening (OGS). To date, OGS has been offered concomitant with diagnostic testing. In contrast, we piloted a service offering OGS after return of diagnostic testing results. Evaluation was designed to provide insights for future models of service and included patient surveys at three time points, semi-structured interviews with genetic counsellors (GCs) and a focus group with medical scientists. Uptake was relatively low: 83 of 200 patients approached (42%) attended the OGS service, with 81 accepting OGS. Whilst many who declined to attend the service cited practical barriers, others gave reasons that indicated this was a considered decision. Despite specific genetic counselling, one third of patients did not understand the scope of re-analysis. Yet after post-test counselling, all respondents with novel pathogenic additional findings (AF) understood the implications and reported relevant follow-up. Recall was high: five months after last contact, 75% recalled being offered OGS without prompting. GC interviews and patient survey responses provide insights into complexities that influence patient support needs, including diagnostic status and AF result type. There was no consensus among patients or professionals about when to offer OGS. There was a clear preference for multiple, flexible methods of information provision; achieving this whilst balancing patient support needs and resource requirements is a challenge requiring further investigation. Decisions about whether, when and how to offer OGS are complex; our study shows the two-step approach warrants further exploration.

Quality of Refractive Error Care in Cambodia: An Unannounced Standardized Patient Study.

PURPOSE: Quality-of-care in refractive error services is essential, as it directly affects vision outcomes, wellbeing, educational attainment, and workforce participation. In Cambodia, uncorrected refractive error is a leading cause of mild and moderate vision impairment in adults. We evaluated the quality of refractive error care in Cambodia by estimating the proportion of prescribed and dispensed spectacles appropriate for people's refractive error needs and factors associated with spectacle quality. METHODS: A cross-sectional protocol was employed with 18 Khmer-speaking adult participants observing testing procedures in 156 optical services across six provinces in 2022. A total of 496 dispensed spectacles were assessed against spectacle quality indicators. RESULTS: The analysis revealed that 35.1% of dispensed spectacles were of optimal quality. The most common error observed in sub-optimal spectacles was the presence of horizontal prism outside of tolerance limits. The study also found that 44.0% of emmetrope visits involved unnecessary prescription spectacle recommendations, and 18.3% of written prescriptions did not correspond with dispensed spectacles. Sex differences were observed, with men predominantly providing refractive error care and women more likely to be unnecessarily recommended prescription spectacles. CONCLUSION: The findings highlight the importance of prioritizing quality-of-care in refractive error services. A key recommendation is to consider regulatory mechanisms to ensure optical services employ appropriately qualified staff. Additionally, efforts should be made to eliminate unnecessary prescriptions -- especially for emmetropes and females -- standardize written prescriptions, ensure consistent pupil distance measurements, reduce reliance on autorefraction, and address the gender imbalance in the refractive error workforce.

Digitising diabetes education for a safer Ramadan: Design, delivery, and evaluation of massive open online courses in Ramadan-focused diabetes education.

AIMS: Ramadan-focused diabetes education is critical to facilitate safer Ramadan fasting amongst Muslim people living with diabetes. We present the design, delivery, and evaluation of two parallel massive open online courses (MOOCs) in Ramadan-focused diabetes education for people with diabetes and HCPs. METHODS: Two Ramadan-focused diabetes education MOOCs were developed and delivered for Ramadan 2023: one for HCPs in English, and another for people with diabetes in English, Arabic and Malay. A user-centred iterative design process was adopted, informed by user feedback from a 2022 pilot MOOC. Evaluation comprised a mixed-methods evaluation of pre- and post-course user surveys. RESULTS: The platform was utilised by people with diabetes and their family, friends and healthcare professionals. Overall, a total of 1531 users registered for the platform from 50 countries, 809 started a course with a 48% subsequent completion rate among course starters. Qualitative analysis showed users found the course a user-friendly and authoritative information source. In the HCP MOOC, users reported improved post-MOOC Ramadan awareness, associated diabetes knowledge and ability to assess and advise patients in relation to their diabetes during Ramadan (p<0.01). CONCLUSIONS: We demonstrate the potential of MOOCs to deliver culturally tailored, high-quality, scalable, multilingual Ramadan-focused diabetes education to HCPs and people with diabetes.

A pH-Sensitive Stretchable Zwitterionic Hydrogel with Bipolar Thermoelectricity.

Amid growing interest in using body heat for electricity in wearables, creating stretchable devices poses a major challenge. Herein, a hydrogel composed of two core constituents, namely the negatively-charged 2-acrylamido-2-methylpropanesulfonic acid and the zwitterionic (ZI) sulfobetaine acrylamide, is engineered into a double-network hydrogel. This results in a significant enhancement in mechanical properties, with tensile stress and strain of up to 470.3 kPa and 106.6%, respectively. Moreover, the ZI nature of the polymer enables the fabrication of a device with polar thermoelectric properties by modulating the pH. Thus, the ionic Seebeck coefficient (Si ) of the ZI hydrogel ranges from -32.6 to 31.7 mV K-1 as the pH is varied from 1 to 14, giving substantial figure of merit (ZTi ) values of 3.8 and 3.6, respectively. Moreover, a prototype stretchable ionic thermoelectric supercapacitor incorporating the ZI hydrogel exhibits notable power densities of 1.8 and 0.9 mW m-2 at pH 1 and 14, respectively. Thus, the present work paves the way for the utilization of pH-sensitive, stretchable ZI hydrogels for thermoelectric applications, with a specific focus on harvesting low-grade waste heat within the temperature range of 25-40 °C.

Earlier diagnosis of peripheral neuropathy in primary care: A call to action.

Peripheral neuropathy (PN) often remains undiagnosed (~80%). Earlier diagnosis of PN may reduce morbidity and enable earlier risk factor reduction to limit disease progression. Diabetic peripheral neuropathy (DPN) is the most common PN and the 10 g monofilament is endorsed as an inexpensive and easily performed test for DPN. However, it only detects patients with advanced neuropathy at high risk of foot ulceration. There are many validated questionnaires to diagnose PN, but they can be time-consuming and have complex scoring systems. Primary care physicians (PCPs) have busy clinics and lack access to a readily available screening method to diagnose PN. They would prefer a short, simple, and accurate tool to screen for PN. Involving the patient in the screening process would not only reduce the time a physician requires to make a diagnosis but would also empower the patient. Following an expert meeting of diabetologists and neurologists from the Middle East, South East Asia and Latin America, a consensus was formulated to help improve the diagnosis of PN in primary care using a simple tool for patients to screen themselves for PN followed by a consultation with the physician to confirm the diagnosis.

Risk Prediction and Management of Chronic Kidney Disease in People Living with Type 2 Diabetes Mellitus.

People with type 2 diabetes mellitus have increased risk of chronic kidney disease and atherosclerotic cardiovascular disease. Improved care delivery and implementation of guideline-directed medical therapy have contributed to the declining incidence of atherosclerotic cardiovascular disease in high-income countries. By contrast, the global incidence of chronic kidney disease and associated mortality is either plateaued or increased, leading to escalating direct and indirect medical costs. Given limited resources, better risk stratification approaches to identify people at risk of rapid progression to end-stage kidney disease can reduce therapeutic inertia, facilitate timely interventions and identify the need for early nephrologist referral. Among people with chronic kidney disease G3a and beyond, the kidney failure risk equations (KFRE) have been externally validated and outperformed other risk prediction models. The KFRE can also guide the timing of preparation for kidney replacement therapy with improved healthcare resources planning and may prevent multiple complications and premature mortality among people with chronic kidney disease with and without type 2 diabetes mellitus. The present review summarizes the evidence of KFRE to date and call for future research to validate and evaluate its impact on cardiovascular and mortality outcomes, as well as healthcare resource utilization in multiethnic populations and different healthcare settings.

Precision prognostics for cardiovascular disease in Type 2 diabetes: a systematic review and meta-analysis.

BACKGROUND: Precision medicine has the potential to improve cardiovascular disease (CVD) risk prediction in individuals with Type 2 diabetes (T2D). METHODS: We conducted a systematic review and meta-analysis of longitudinal studies to identify potentially novel prognostic factors that may improve CVD risk prediction in T2D. Out of 9380 studies identified, 416 studies met inclusion criteria. Outcomes were reported for 321 biomarker studies, 48 genetic marker studies, and 47 risk score/model studies. RESULTS: Out of all evaluated biomarkers, only 13 showed improvement in prediction performance. Results of pooled meta-analyses, non-pooled analyses, and assessments of improvement in prediction performance and risk of bias, yielded the highest predictive utility for N-terminal pro b-type natriuretic peptide (NT-proBNP) (high-evidence), troponin-T (TnT) (moderate-evidence), triglyceride-glucose (TyG) index (moderate-evidence), Genetic Risk Score for Coronary Heart Disease (GRS-CHD) (moderate-evidence); moderate predictive utility for coronary computed tomography angiography (low-evidence), single-photon emission computed tomography (low-evidence), pulse wave velocity (moderate-evidence); and low predictive utility for C-reactive protein (moderate-evidence), coronary artery calcium score (low-evidence), galectin-3 (low-evidence), troponin-I (low-evidence), carotid plaque (low-evidence), and growth differentiation factor-15 (low-evidence). Risk scores showed modest discrimination, with lower performance in populations different from the original development cohort. CONCLUSIONS: Despite high interest in this topic, very few studies conducted rigorous analyses to demonstrate incremental predictive utility beyond established CVD risk factors for T2D. The most promising markers identified were NT-proBNP, TnT, TyG and GRS-CHD, with the highest strength of evidence for NT-proBNP. Further research is needed to determine their clinical utility in risk stratification and management of CVD in T2D.

People living with type 2 diabetes (T2D) are more likely to develop problems with their heart or blood circulation, known as cardiovascular disease (CVD), than people who do not have T2D. However, it can be difficult to predict which people with T2D are most likely to develop CVD. This is because current approaches, such as blood tests, do not identify all people with T2D who are at an increased risk of CVD. In this study we reviewed published papers that investigated the differences between people with T2D who experienced CVD compared to those who did not. We found some indicators that could potentially be used to determine which people with T2D are most likely to develop CVD. More studies are needed to determine how useful these are. However, they could potentially be used to enable clinicians to provide targeted advice and treatment to those people with T2D at most risk of developing CVD.

Site-selective chlorination of pyrrolic heterocycles by flavin dependent enzyme PrnC.

Halogenation of pyrrole requires strong electrophilic reagents and often leads to undesired polyhalogenated products. Biocatalytic halogenation is a highly attractive approach given its chemoselectivity and benign reaction conditions. While there are several reports of enzymatic phenol and indole halogenation in organic synthesis, corresponding reports on enzymatic pyrrole halogenation have been lacking. Here we describe the in vitro functional and structural characterization of PrnC, a flavin-dependent halogenase that can act on free-standing pyrroles. Computational modeling and site mutagenesis studies identified three key residues in the catalytic pocket. A moderate resolution map using single-particle cryogenic electron microscopy reveals PrnC to be a dimer. This native PrnC can halogenate a library of structurally diverse pyrrolic heterocycles in a site-selective manner and be applied in the chemoenzymatic synthesis of a chlorinated analog of the agrochemical fungicide Fludioxonil.

Real-world evaluation of care for type 2 diabetes in Malaysia: A cross-sectional analysis of the treatment adherence to guideline evaluation in type 2 diabetes (TARGET-T2D) study.

AIM: Given a lack of data on diabetes care performance in Malaysia, we conducted a cross-sectional study to understand the clinical characteristics, control of cardiometabolic risk factors, and patterns of use of guideline-directed medical therapy (GDMT) among patients with type 2 diabetes (T2D), who were managed at publicly-funded hospitals between December 2021 and June 2022. METHODS: Patients aged ≥18 years with T2D from eight publicly-funded hospitals in the Greater Kuala Lumpur region, who had ≥2 outpatient visits within the preceding year and irrespective of treatment regimen, were eligible. The primary outcome was ≥2 treatment target attainment (defined as either HbA1c <7.0%, blood pressure [BP] <130/80 mmHg, or low-density lipoprotein cholesterol [LDL-C] <1.8 mmol/L). The secondary outcomes were the individual treatment target, a combination of all three treatment targets, and patterns of GDMT use. To assess for potential heterogeneity of study findings, all outcomes were stratified according to prespecified baseline characteristics namely 1) history of atherosclerotic cardiovascular disease (ASCVD; yes/no) and 2) clinic type (Diabetes specialist versus General medicine). RESULTS: Among 5094 patients (mean±SD age 59.0±13.2 years; T2D duration 14.8±9.2 years; HbA1c 8.2±1.9% (66±21 mmol/mol); BMI 29.6±6.2 kg/m2; 45.6% men), 99% were at high/very high cardiorenal risk. Attainment of ≥2 treatment targets was at 18%, being higher in General medicine than in Diabetes specialist clinics (20.8% versus 17.5%; p = 0.039). The overall statin coverage was 90%. More patients with prior ASCVD attained LDL-C <1.4 mmol/L than those without (13.5% versus 8.4%; p<0.001). Use of sodium-glucose cotransporter-2 (SGLT2) inhibitors (13.2% versus 43.2%), glucagon-like peptide-1 receptor agonists (GLP1-RAs) (1.0% versus 6.2%), and insulin (27.7% versus 58.1%) were lower in General medicine than in Diabetes specialist clinics. CONCLUSIONS: Among high-risk patients with T2D, treatment target attainment and use of GDMT were suboptimal.

Exploring a general multi-pronged activation strategy for natural product discovery in Actinomycetes.

Natural products possess significant therapeutic potential but remain underutilized despite advances in genomics and bioinformatics. While there are approaches to activate and upregulate natural product biosynthesis in both native and heterologous microbial strains, a comprehensive strategy to elicit production of natural products as well as a generalizable and efficient method to interrogate diverse native strains collection, remains lacking. Here, we explore a flexible and robust integrase-mediated multi-pronged activation approach to reliably perturb and globally trigger antibiotics production in actinobacteria. Across 54 actinobacterial strains, our approach yielded 124 distinct activator-strain combinations which consistently outperform wild type. Our approach expands accessible metabolite space by nearly two-fold and increases selected metabolite yields by up to >200-fold, enabling discovery of Gram-negative bioactivity in tetramic acid analogs. We envision these findings as a gateway towards a more streamlined, accelerated, and scalable strategy to unlock the full potential of Nature's chemical repertoire.

The use of prednisolone during Ramadan fasting in patients with adrenal insufficiency.

OBJECTIVE: Once daily prednisolone taken at predawn has been proposed to be the glucocorticoid replacement of choice in patients with adrenal insufficiency (AI) who intend to fast for the month of Ramadan. However, the effects of prednisolone on metabolic parameters and quality of life during fasting for Ramadan are unknown. DESIGN, PATIENTS AND MEASUREMENTS: Patients with AI on twice-daily hydrocortisone, who had low or moderate risk and intended to fast, were recruited. Patients were converted to prednisolone 5 mg once daily taken at sahur (predawn) and Ramadan education given. Weight, sleep duration, biochemical parameters and quality of life measures (SF-36 questionnaire) were analysed at the end of Ramadan and compared against baseline. RESULTS: Twenty patients (13 men) were recruited, with a mean age of 59.9 ± 15.0 years. All patients were on hydrocortisone 15 mg daily (in divided doses) as pre-Ramadan glucocorticoid replacement. Half had type 2 diabetes with low IDF-DAR risk. Eighty-five percent of patients completed the full 29 days of fasting with no complications. There was a significant reduction in weight (-1.1 ± 1.6 kg, p = .005), with no significant change in blood pressure or sleep duration. There was a significant increase in urea (0.80 ± 1.1 mmol/L, p = .005) and haematocrit, (0.011 ± 0.019 L/L, p = .019) and decrease in serum sodium (-1.6 ± 3.0 mmol/L, p = .028), with no change in serum creatinine or liver function. Quality of life measures were preserved in all domains with significant improvement in role limitation due to physical health (15.3 ± 21.6, p = .005) and bodily pain (8.8 ± 16.3, p = .031). CONCLUSIONS: This study has demonstrated that converting patients with AI who are fasting for Ramadan from twice-daily hydrocortisone to prednisolone 5 mg daily at sahur was safe, with no major short-term adverse effects. Despite the higher equivalent glucocorticoid doses, patients experienced weight loss and no clinically significant change in blood pressure, sleep, biochemical parameters or quality of life. This study paves the way to trial even lower doses of prednisolone once daily in patients fasting for Ramadan with AI.

Cognitive functioning in untreated glioma patients: The limited predictive value of clinical variables.

BACKGROUND: Previous research identified many clinical variables that are significantly related to cognitive functioning before surgery. It is not clear whether such variables enable accurate prediction for individual patients' cognitive functioning because statistical significance does not guarantee predictive value. Previous studies did not test how well cognitive functioning can be predicted for (yet) untested patients. Furthermore, previous research is limited in that only linear or rank-based methods with small numbers of variables were used. METHODS: We used various machine learning models to predict preoperative cognitive functioning for 340 patients with glioma across 18 outcome measures. Predictions were made using a comprehensive set of clinical variables as identified from the literature. Model performances and optimized hyperparameters were interpreted. Moreover, Shapley additive explanations were calculated to determine variable importance and explore interaction effects. RESULTS: Best-performing models generally demonstrated above-random performance. Performance, however, was unreliable for 14 out of 18 outcome measures with predictions worse than baseline models for a substantial number of train-test splits. Best-performing models were relatively simple and used most variables for prediction while not relying strongly on any variable. CONCLUSIONS: Preoperative cognitive functioning could not be reliably predicted across cognitive tests using the comprehensive set of clinical variables included in the current study. Our results show that a holistic view of an individual patient likely is necessary to explain differences in cognitive functioning. Moreover, they emphasize the need to collect larger cross-center and multimodal data sets.

Health poverty among people with type 2 diabetes mellitus (T2DM) in Malaysia.

In the context of the escalating burden of diabetes in low and middle-income countries (LMICs), there is a pressing concern about the widening disparities in care and outcomes across socioeconomic groups. This paper estimates health poverty measures among individuals with type 2 diabetes mellitus (T2DM) in Malaysia. Using data from the National Diabetes Registry between 2009 and 2018, the study linked 932,855 people with T2DM aged 40-75 to death records. Cox proportional hazards models were used to estimate the 5-year survival probabilities for each patient, stratified by age and sex, while controlling for comorbidities and area-based indicators of socio-economic status (SES), such as district-level asset-based indices and night-time luminosity. Measures of health poverty, based on the Foster-Greer-Thorbecke (FGT) measures, were employed to capture excessive risk of premature mortality. Two poverty line thresholds were used, namely a 5% and 10% reduction in survival probability compared to age and sex-adjusted survival probability of the general population. Counterfactual simulations estimated the extent to which comorbidities contribute to health poverty. 43.5% of the sample experienced health poverty using the 5% threshold, and 8.9% were health poor using the 10% threshold. Comorbidities contribute 2.9% for males and 5.4% for females, at the 5% threshold. At the 10% threshold, they contribute 7.4% for males and 3.4% for females. If all patients lived in areas of highest night-light intensity, poverty would fall by 5.8% for males and 4.6% for females at the 5% threshold, and 4.1% for males and 0.8% for females at the 10% threshold. In Malaysia, there is a high incidence of health poverty among people with diabetes, and it is strongly associated with comorbidities and area-based measures of SES. Expanding the application of health poverty measurement, through a combination of clinical registries and open spatial data, can facilitate simulations for health poverty alleviation.

Direct arene trifluoromethylation enabled by promiscuous activity of fungal laccase.

Laccase from Trametes versicolor was found to oxidize non-phenolic arenes and enable the trifluoromethylation of arenes in the presence of in situ generated CF3 radicals at a catalyst loading as low as 0.0034%. The biocatalytic trifluoromethylation proceeded under mild conditions and could increase the yield by up to 12 fold, compared to the control.

Trends in all-cause mortality among adults with diagnosed type 2 diabetes in West Malaysia: 2010 - 2019.

AIMS: We determined 10-year all-cause mortality trends in diagnosed type 2 diabetes (T2D) population in West Malaysia, a middle-income country in the Western-Pacific region. METHODS: One million T2D people aged 40-79 registered in the National Diabetes Registry (2009-2018) were linked to death records (censored on 31 December 2019). Standardized absolute mortality rates and standardized mortality ratios (SMRs) were estimated relative to the Malaysian general population, and standardized to the 2019 registry population with respect to sex, age group, and disease duration. RESULTS: Overall all-cause standardized mortality rates were unchanged in both sexes. Rates increased in males aged 40-49 (annual average percent change [AAPC]: 2.46 % [95 % CI 0.42 %, 4.55 %]) and 50-59 (AAPC: 1.91 % [95 % CI 0.73 %, 3.10 %]), and females aged 40-49 (AAPC: 3.39 % [95 % CI 1.32 %, 5.50 %]). In both sexes, rates increased among those with 1) > 15 years disease duration, 2) prior cardiovascular disease, and 3) Bumiputera (Malay/native) ethnicity. The overall SMR was 1.83 (95 % CI 1.80, 1.86) for males and 1.85 (95 % CI 1.82, 1.89) for females, being higher in younger age groups and showed an increasing trend in those with either > 15 years disease duration or prior cardiovascular disease. CONCLUSIONS: Mortality trends worsened in certain T2D population in Malaysia.

Quality of refractive error care in Pakistan: an unannounced standardised patient study.

OBJECTIVE: Undercorrected refractive errors are the primary cause of vision impairment worldwide, including in Pakistan. However, limited data exist on the quality of refractive error care. Our study assessed the quality of refractive error care in Punjab, Pakistan by estimating the proportion of spectacles that were optimally prescribed. METHODS AND ANALYSIS: In this cross-sectional study, 12 unannounced standardised patients (USPs) from Jhang, Khanewal and Sahiwal districts were recruited. USPs underwent baseline subjective refraction and were trained to attend optical services, observe consultations, request spectacles and obtain prescriptions. The spectacles received were compared with baseline refraction to determine quality. We also examined the associations between spectacle quality, service and patient characteristics. RESULTS: Out of 276 attempted visits to 69 optical services, 241 pairs of spectacles were dispensed. A population size-weighted percentage of 42.7% (95% CI 36.4% to 49.3%) of spectacles were optimal quality, with the range varying from 13.8% in Jhang to 67.0% in Khanewal. Half the suboptimal quality spectacles had horizontal prism deviations outside of tolerance limits. Optimal spectacles were associated with performing focimetry (unadjusted OR=7.15, 95% CI (3.02 to 16.94), p<0.001) and good communication (OR=2.23, 95% CI (1.06 to 4.67), p=0.03). Hyperopic USPs were less likely to receive optimal spectacles (OR=0.01 95% CI (0.00 to 0.11), p<0.001). CONCLUSION: The quality of refractive error care in Pakistan requires improvement, particularly in the Jhang district. Key areas for enhancing refractive error care in Pakistan include refining dispensing and refraction skills for hyperopic prescriptions, providing training on the risks of using previous spectacles, and emphasising the importance of effective communication skills.