METHODS: This was a retrospective observational registry of 14,935 patients from the year 2011 till 2015. Clinical characteristics, clinical outcome and intracoronary imaging data were recorded in all the patients. The SPSS Statistic version 24 was used for statistical analysis. The Cox regression hazard model was used to report calculate the hazard ratio (HR) with a 95% confidence interval (95%CI). Independent predictors of ST were identified by univariate logistic regression analysis. Variables that showed a statistically significant effect in univariate analyses were entered in a multivariate Cox proportional hazards model. A p-value<0.05 was regarded as significant.
RESULTS: The incidence of definite ST was 0.25% (37 out of 14935 patients). 75% of ST group patients presented with ST elevation myocardial infarction (75% vs. 19.8%, p<0.01). There was higher mortality among patients with ST when compared to the group without ST (Hazard Ratio, HR=10.69, 95%CI: 1.13, 100). Two independent predictors of ST were 1) previous history of acute myocardial infarction (HR=2.36, 95%CI: 1.19, 4.70) and 2) PCI in the context of acute coronary syndrome when compared to elective PCI (HR=37, 95%CI: 15.7, 91.5). Examination of 19 ST cases with intracoronary imaging identified nine cases (47%) of underexpanded stents and five cases (26%) of malopposition of stents.
CONCLUSIONS: ST is associated with high mortality. PCI in acute coronary syndrome setting and a previous history of acute myocardial infarction were significant predictors for ST. Intracoronary imaging identified stent underexpansion and malopposition as common reasons for ST. In cases where the risk of ST is high, the use of intracoronary imaging guided PCI is recommended.
METHODS: Two-year post-discharge follow-up data were analyzed from 8757 ACS PCI patients from EPICOR Asia (218 centers, eight countries). Major adverse cardiovascular events (MACE; death, non-fatal myocardial infarction [MI], non-fatal ischemic stroke), PCI characteristics, and AMPs were recorded. For MACE, time - to - event was analyzed using Cox regression.
RESULTS: Primary PCI was performed in 62.0% of ST-segment elevation MI (STEMI), 38.7% of non-STEMI (NSTEMI), and 24.2% of unstable angina (UA) patients. At 12 months, 88.1% of patients were on dual antiplatelet therapy (DAPT), with no differences by index event. Most (61.5%) still received DAPT at 2 years. Two-year incidences of mortality, composite MACE, and bleeding were 3.6%, 6.2%, and 6.6%, respectively. Risk of death and MACE was increased with STEMI and NSTEMI vs. UA. Patients from East Asia showed lower mortality and more bleeding vs. Southeast Asia/India.
CONCLUSIONS: Many patients in EPICOR Asia underwent PCI and received DAPT up to 2 years post-discharge. These real-world findings improve our understanding of AMP impact on outcomes in Asian patients with ACS undergoing PCI.
METHOD: A total of 2218 PWE were recruited retrospectively into this study. Deceased cases from 2009-2018 were identified from the National Registry Department of Malaysia. Age-, gender-, and ethnic-specific SMR were calculated.
RESULT: There was a total of 163 deaths, of which 111 (68.1%) were male. The overall case-fatality rate (CFR) was 7.3%. Male PWE had higher CFR (9.2%) compared to females (5.1%, p<0.001). The annual death rate of PWE was 867 per 100, 000 persons. The overall all-cause SMR was 1.6 (CI 95% 1.3-1.8). The SMR for younger age groups (15-19 and 20-29 years) were higher (5.4-5.5) compared to other age groups (0.4-2.5). Overall SMR for male PWE (1.8, 95% CI 1.5-2.1) was higher than females (1.2, 95% CI 0.9-1.6). However, the SMR for female PWE in the younger age groups (15-19, 20-29 and 30-39 years) was higher. SMR among the Indian PWE was the highest (1.6, 95% CI 1.2-2.0) compared to the Chinese (1.5, 95% CI 1.2-1.9) and the Malays (1.4, 95% 1.0-1.9). The CFR was higher in those with focal epilepsy (8.5% vs. 2.5-3.7% in genetic and other generalized epilepsies, p=0.003), epilepsy with structural cause (9.5% vs. 5.9% in others, p=0.005) and uncontrolled seizures (7.9% vs. 5.2% in seizure-free group, p<0.001).
CONCLUSION: The mortality rate of PWE in Malaysia is higher than that of the general population but lower compared to other Asian countries. Specifically, the rates are higher in the younger age group, male gender, and Indian ethnicity. Those with focal epilepsy, structural causes and uncontrolled seizures have higher mortality rates.
METHODS: A 10-year retrospective analysis of SCARs cases in Penang General Hospital was carried out from January 2006 to December 2015. Data collection is based on the Malaysian Adverse Drug Reactions Advisory Committee registry and dermatology clinic records.
RESULTS: A total of 189 cases of SCARs were encountered (F:M ratio; 1.2:1.0; mean age of 45 year). The commonest manifestation was Stevens-Johnson Syndrome [SJS] (55.0%), followed by toxic epidermal necrolysis [TEN] (23.8%), drug rash with eosinophilia and systemic symptoms [DRESS] (12.7%), acute generalised exanthematous pustulosis [AGEP] (4.8%), SJS/TEN overlap syndrome (2.6%) and generalised bullous fixed drug eruptions [GBFDE] (1.1%). Mean time to onset for TEN/SJS/Overlap syndrome was 10.5±13 days; AGEP, three days; GBFDE, 2.5±0.7 days, and DRESS, 29.4±5.7 days. The most common drugs implicated were antibiotics (33.3%), followed by allopurinol (18.9%) and anticonvulsant (18.4%). Out of 154 cases of SJS/TEN/overlap syndrome, allopurinol was the commonest causative agents (20.1%). In DRESS, allopurinol accounts for 45.8% of the cases. The mortality rate in SJS, TEN and DRESS were 1.9%, 13.3% and 12.5% respectively. No mortality was observed in AGEP and GBFDE.
CONCLUSION: The commonest manifestations of SCARs in our setting were SJS, TEN and DRESS. Allopurinol was the most common culprit. Thus, judicious allopurinol use is advocated and pre-emptive genetic screening for HLAB *5801 should be considered.
Methods: This is a retrospective cohort review of data obtained from the Malaysian National Obstetrics and Gynaecology Registry between the year 2010 and year 2012. All women in their first pregnancy with a booking BMI in their first trimester were included in this study. The association between BMI classifications as defined by the WHO cut-offs and the potential public health action points identified by WHO expert consultations towards adverse obstetric outcomes was compared.
Results: A total of 88,837 pregnant women were included in this study. We noted that the risk of adverse obstetric outcomes was significantly higher using the public health action points identified by WHO expert consultations even among the overweight group as the risk of stillbirths was (OR 1.2; 95% CI 1.0,1.4), shoulder dystocia (OR 1.9; 95% CI 1.2,2.9), foetal macrosomia (OR 1.8; 95% CI 1.6,2.0), caesarean section (OR 1.9; 95% CI 1.8,2.0) and assisted conception (OR 1.9; 95% CI 1.6,2.1).
Conclusion: A specifically lower BMI references based on the potential public health action points for BMI classifications were a more sensitive predictor of adverse obstetric outcomes, and we recommend the use of these references in pregnancy especially among Asian population.
METHODS: Using Singapore Malaysia Hospital-Based Breast Cancer Registry, clinical information was retrieved from 7064 stage I to III breast cancer patients who were diagnosed between 1990 and 2011 and underwent surgery. Predicted and observed probabilities of positive nodes and survival were compared for each subgroup. Calibration was assessed by plotting observed value against predicted value for each decile of the predicted value. Discrimination was evaluated by area under a receiver operating characteristic curve (AUC) with 95 % confidence interval (CI).
RESULTS: The median predicted probability of positive lymph nodes is 40.6 % which was lower than the observed 43.6 % (95 % CI, 42.5 %-44.8 %). The calibration plot showed underestimation for most of the groups. The AUC was 0.71 (95 % CI, 0.70-0.72). Cancermath predicted and observed overall survival probabilities were 87.3 % vs 83.4 % at 5 years after diagnosis and 75.3 % vs 70.4 % at 10 years after diagnosis. The difference was smaller for patients from Singapore, patients diagnosed more recently and patients with favorable tumor characteristics. Calibration plot also illustrated overprediction of survival for patients with poor prognosis. The AUC for 5-year and 10-year overall survival was 0.77 (95 % CI: 0.75-0.79) and 0.74 (95 % CI: 0.71-0.76).
CONCLUSIONS: The discrimination and calibration of CancerMath were modest. The results suggest that clinical application of CancerMath should be limited to patients with better prognostic profile.
METHODS: A 5-year (2011-2015) cross-sectional study was conducted using data from the Malaysian National Obstetrics Registry (NOR). A total of 608,747 deliveries were recorded from 11 tertiary state hospitals and 1 tertiary hospital from the Federal territory.
RESULTS: During the study period, there were 141,257 Caesarean sections (23.2%). Caesarean sections in Group 1 (nulliparous term pregnancy in spontaneous labour) and Group 3 (multiparous term pregnancy in spontaneous labour) had an increasing trend from 2011 to 2015. The group that contributed most to the overall caesarean section rates was Group 5 (multiparous, singleton, cephalic≥37 weeks with previous caesarean section) and the rates remained high during the 5-year study period. Groups 6, 7 and 9 had the highest caesarean section rates but they made the smallest contribution to the overall rates.
CONCLUSIONS: Like many countries, the rate of caesarean section has risen over time, and the rise is driven by caesarean section in low-risk groups. There was an important hospital to hospital variation. The rise in caesarean section rates reflects a globally disturbing trend, and changes in policy and training that creates a uniform standard across hospitals should be considered.
Objective: To compare the real-world effectiveness of EHRZ and FDC treatment groups on a cohort registry by investigating the sputum conversion rate and treatment outcomes of both groups.
Methods: A total of 11,489 patients' data were extracted from the Sabah TB registry between January 2012 and June 2016, including EHRZ (n = 4188) and FDC (n = 7301) patients. Then, 1:1 propensity score matching was adopted to reduce the baseline bias. Caliper matching was conducted with maximum tolerance score set at 0.001. Confounders included in the propensity score matching were gender, nationality, diabetes, HIV status, smoking status, and chest X-ray status. Successful matching provided 4188 matched pairs (n = 8376) for final analysis.
Results: In this matched cohort of 4188 pairs, the 2-month sputum conversion rate of FDC group was significantly higher than the EHRZ group (96.3% vs. 94.3%; P < 0.001) whereas 6-month sputum conversion of both groups showed no significant difference. Treatment outcomes such as noncompliance rate, failure rate, and success rate have no significant difference (P > 0.05) in both the treatment groups. There was an incidental finding of reduced death rate among FDC group compared to the EHRZ group (0.2% vs. 0.5%; P = 0.034).
Conclusion: The FDC formulation has better sputum conversion rate at 2 months compared to conventional EHRZ regime as separate-drug formulation. It was also observed that FDC has a slight protective effect against all-cause death among TB patients. This protective effect of FDC, however, still needs to be proven further.
METHODS: 1812 biopsy-proven NAFLD patients across nine countries in Asia assessed between 2006 and 2019 were pooled into a curated clinical registry. Demographic, metabolic and histological differences between non-obese and obese NAFLD patients were evaluated. The performance of Fibrosis-4 index for liver fibrosis (FIB-4) and NAFLD fibrosis score (NFS) to identify advanced liver disease across the varying obesity subgroups was compared. A random forest analysis was performed to identify novel predictors of fibrosis and steatohepatitis in non-obese patients.
FINDINGS: One-fifth (21.6%) of NAFLD patients were non-obese. Non-obese NAFLD patients had lower proportions of NASH (50.5% vs 56.5%, p = 0.033) and advanced fibrosis (14.0% vs 18.7%, p = 0.033). Metabolic syndrome in non-obese individuals was associated with NASH (OR 1.59, 95% CI 1.01-2.54, p = 0.047) and advanced fibrosis (OR 1.88, 95% CI 0.99-3.54, p = 0.051). FIB-4 performed better than the NFS score (AUROC 81.5% vs 73.7%, p
METHODS: We analyzed the clinical, immunologic, and genetic data of IEI patients from 22 countries in the Middle East and North Africa (MENA) region. The data was collected from national registries and diverse databases such as the Asian Pacific Society for Immunodeficiencies (APSID) registry, African Society for Immunodeficiencies (ASID) registry, Jeffrey Modell Foundation (JMF) registry, J Project centers, and International Consortium on Immune Deficiency (ICID) centers.
RESULTS: We identified 17,120 patients with IEI, among which females represented 39.4%. Parental consanguinity was present in 60.5% of cases and 27.3% of the patients were from families with a confirmed previous family history of IEI. The median age of patients at the onset of disease was 36 months and the median delay in diagnosis was 41 months. The rate of registered IEI patients ranges between 0.02 and 7.58 per 100,000 population, and the lowest rates were in countries with the highest rates of disability-adjusted life years (DALY) and death rates for children. Predominantly antibody deficiencies were the most frequent IEI entities diagnosed in 41.2% of the cohort. Among 5871 patients genetically evaluated, the diagnostic yield was 83% with the majority (65.2%) having autosomal recessive defects. The mortality rate was the highest in patients with non-syndromic combined immunodeficiency (51.7%, median age: 3.5 years) and particularly in patients with mutations in specific genes associated with this phenotype (RFXANK, RAG1, and IL2RG).
CONCLUSIONS: This comprehensive registry highlights the importance of a detailed investigation of IEI patients in the MENA region. The high yield of genetic diagnosis of IEI in this region has important implications for prevention, prognosis, treatment, and resource allocation.