METHODS: All EMS-attended OHCA adults between the ages of 16 and 35 years in the Pan-Asian Resuscitation Outcomes Study (PAROS) registry were analysed. The primary outcome was favourable neurologic outcome (Cerebral Performance Category 1 or 2) at hospital discharge or at 30th day post OHCA if not discharged. Regression analysis was performed to identify factors associated with favourable neurologic outcomes.
RESULTS: 66,780 OHCAs were collected between January 2009 and December 2013; 3244 young OHCAs had resuscitation attempted by emergency medical services (EMS). 56.8% of patients had unwitnessed arrest; 47.9% were of traumatic etiology. 17.2% of patients (95% CI: 15.9-18.5%) had return of spontaneous circulation; 7.8% (95% CI: 6.9-8.8%) survived to one month; 4.6% (95% CI: 4.0-5.4%) survived with favourable neurologic outcomes. Factors associated with favourable neurologic outcomes include witnessed arrest (adjusted RR=2.42, p-value<0.0001), bystander CPR (adjusted RR=1.57, p-value=0.004), first arrest shockable rhythm (adjusted RR=27.24, p-value<0.0001), and cardiac etiology (adjusted RR=3.99, p-value<0.0001).
CONCLUSIONS: OHCA among young adults are not uncommon. Traumatic OHCA, occurring most frequently in young adults had dismal prognosis. First arrest rhythms of VF/VT/unknown shockable rhythm, cardiac etiology, bystander-witnessed arrest, and bystander CPR were associated with favourable neurological outcomes. The results of the study would be useful for planning preventive and interventional strategies, improving EMS, and guiding future research.
Methods: Data were collected from consecutive patients across 9 centres. Major endpoints included procedural success, safety and long-term outcomes including occurrence of bleeding, stroke/transient ischaemic attack/systemic embolism and all-cause mortality.
Results: Subjects (n = 201) had a mean age of 70.8 ± 9.4 years, high stroke risk (CHA2DS2-VASc: 3.9 ± 1.7), elevated bleeding risk (HAS-BLED: 2.1 ± 1.2) with 53% patients from Asian countries. Successful implantation occurred in 98.5% of patients; 7-day device/procedure-related SAE rate was 3.0%. After 2 years of follow-up, the rates of ischaemic stroke/TIA/SE and major bleeding were 1.9 and 2.2 per 100-PY, respectively, representing relative reductions of 77% and 49% versus expected rates per risk scores. The relative risk reductions versus expected rates were more pronounced in Asians vs. Non-Asians (89% vs 62%; 77% vs 14%). Other significant findings included larger mean LAA ostium diameter for Asians vs. Non-Asians (23.4 ± 4.1 mm vs. 21.2 ± 3.2 mm, p
Methods: Between May 2014 to April 2017, 268 patients (88% male, mean age 60.1 ± 10.8 years) with 291 coronary lesions were treated with AES. The primary endpoint was major adverse cardiac events (MACE) ie a composite of cardiovascular mortality, myocardial infarction (MI) and target lesion revascularization (TLR) at 12-month follow-up.
Results: The majority of patients presented with acute coronary syndrome (75%) and 75% had multi-vessel disease on angiography. Diabetes mellitus was present in 123 patients (46%). The most common target vessel for PCI was left anterior descending artery (43%) followed by right coronary artery (36%), left circumflex (10%) and left main (6%).The majority of lesions were type B-C (85%) by ACC/AHA lesion classification. An average of 1.25 ± 0.5 AES were used per patient, with mean AES diameter of 3.1 ± 0.4 mm and average total length of 34.8 ± 19.4 mm.At 12-month follow-up, 4% of patients developed MACE. MACE was mainly driven by cardiovascular mortality (1.5%), MI (2%) and TLR (1.5%). The rate of stent thrombosis was 1.5%.
Conclusion: In a contemporary all-comers South-East Asian registry with high rate of diabetes mellitus, AES was found to be efficacious with a low incidence of MACE observed at 12-month follow-up.
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.
METHODS: This is a cohort study of T2DM patients in the national diabetes registry, Malaysia. Patients' particulars were derived from the database between 1st January 2009 and 31st December 2009. Their records were matched with the national death record at the end of year 2013 to determine the status after five years. The factors associated with mortality were investigated, and a prognostic model was developed based on logistic regression model.
RESULTS: There were 69,555 records analyzed. The mortality rate was 1.4 persons per 100 person-years. The major cause of death were diseases of the circulatory system (28.4%), infectious and parasitic diseases (19.7%), and respiratory system (16.0%). The risk factors of mortality within five years were age group (p < 0.001), body mass index category (p < 0.001), duration of diabetes (p < 0.001), retinopathy (p = 0.001), ischaemic heart disease (p < 0.001), cerebrovascular (p = 0.007), nephropathy (p = 0.001), and foot problem (p = 0.001). The sensitivity and specificity of the proposed model was fairly strong with 70.2% and 61.3%, respectively.
CONCLUSIONS: The elderly and underweight T2DM patients with complications have higher risk for mortality within five years. The model has moderate accuracy; the prognostic model can be used as a screening tool to classify T2DM patients who are at higher risk for mortality within five years.
Methods: A total of 7180 STEMI male patients from the National Cardiovascular Disease Database-Acute Coronary Syndrome (NCVD-ACS) registry for the years 2006-2013 were enrolled. In the development of univariate and multivariate logistic regression model for the STEMI patients, Bayesian Markov Chain Monte Carlo (MCMC) simulation approach was applied. The performance of the model was assessed through convergence diagnostics, overall model fit, model calibration and discrimination.
Results: A set of six risk factors for cardiovascular death among STEMI male patients were identified from the Bayesian multivariate logistic model namely age, diabetes mellitus, family history of CVD, Killip class, chronic lung disease and renal disease respectively. Overall model fit, model calibration and discrimination were considered good for the proposed model.
Conclusion: Bayesian risk prediction model for CVD male patients identified six risk factors associated with mortality. Among the highest risks were Killip class (OR=18.0), renal disease (2.46) and age group (OR=2.43) respectively.
METHODS AND ANALYSIS: REKOVER is a phase-IV, multicountry, multicentre, prospective, real-world observational study. A total of 750 postsurgical and non-surgical patients (male and female, aged 18-80 years) will be recruited from 13 tertiary-care hospitals (15 sites) in Singapore, Thailand, the Philippines and Malaysia. All patients prescribed with TRAM/DKP FDC and willing to participate in the study will be enrolled. The recruitment duration for each site will be 6 months. The severity of pain will be collected using Numeric Pain Rating Scale through the treatment period from day 1 to day 5, while satisfaction with the treatment will be evaluated using Patient Global Evaluation Scale at the end of treatment. Any adverse event reported during the study duration will be recorded for safety analysis (up to day 6). The study data will be entered into the ClaimIt portal and mobile application (app) (ObvioHealth, USA). All the inpatient data will be entered into the portal by the study site and for outpatient it will be done by patients through an app.
ETHICS AND DISSEMINATION: The study has been approved by the local ethics committee from each study sites in Singapore, Thailand, the Philippines and Malaysia. Findings will be disseminated through local and global conference presentations, publications in peer-reviewed scientific journals and continuing medical education.
METHODS: Data was collected from the web-based MOH CSR. All consecutive cataract surgery patients from 1st June 2008 to 31st December 2014 were identified. Exclusion criteria were traumatic cataract or previous ocular surgery. Demographic data, ocular co-morbidities, intraoperative details and postoperative visual acuity (VA) at final ophthalmological follow-up were noted. All eyes were taken for analysis. Subjects with POE were compared against subjects with no POE for risk factor assessment using multiple logistic regressions.
RESULTS: A total of 163 503 subjects were screened. The incidence of POE was 0.08% (131/163 503). Demographic POE risk factors included male gender (OR: 2.121, 95%CI: 1.464-3.015) and renal disease (OR: 2.867, 95%CI: 1.503-5.467). POE risk increased with secondary causes of cataract (OR: 3.562, 95%CI: 1.740-7.288), uveitis (OR: 11.663, 95%CI: 4.292-31.693) and diabetic retinopathy (OR: 1.720, 95%CI: 1.078-2.744). Intraoperative factors reducing POE were shorter surgical time (OR: 2.114, 95%CI: 1.473-3.032), topical or intracameral anaesthesia (OR: 1.823, 95%CI: 1.278-2.602), posterior chamber intraocular lens (PCIOL; OR: 4.992, 95%CI: 2.689-9.266) and foldable IOL (OR: 2.276, 95%CI: 1.498-3.457). POE risk increased with posterior capsule rupture (OR: 3.773, 95%CI: 1.915-7.432) and vitreous loss (OR: 3.907, 95%CI: 1.720-8.873). Postoperative VA of 6/12 or better was achieved in 15.27% (20/131) subjects with POE.
CONCLUSION: This study concurs with other studies regarding POE risk factors. Further strengthening of MOH CSR data collection process will enable deeper analysis and optimization of POE treatment.
OBJECTIVE: To compare the ability of the prehospital GCS and GCS-M to predict 30-day mortality and severe disability in trauma patients.
DESIGN: We used the Pan-Asia Trauma Outcomes Study registry to enroll all trauma patients >18 years of age who presented to hospitals via emergency medical services from 1 January 2016 to November 30, 2018.
SETTINGS AND PARTICIPANTS: A total of 16,218 patients were included in the analysis of 30-day mortality and 11 653 patients in the analysis of functional outcomes.
OUTCOME MEASURES AND ANALYSIS: The primary outcome was 30-day mortality after injury, and the secondary outcome was severe disability at discharge defined as a Modified Rankin Scale (MRS) score ≥4. Areas under the receiver operating characteristic curve (AUROCs) were compared between GCS and GCS-M for these outcomes. Patients with and without traumatic brain injury (TBI) were analyzed separately. The predictive discrimination ability of logistic regression models for outcomes (30-day mortality and MRS) between GCS and GCS-M is illustrated using AUROCs.
MAIN RESULTS: The primary outcome for 30-day mortality was 1.04% and the AUROCs and 95% confidence intervals for prediction were GCS: 0.917 (0.887-0.946) vs. GCS-M:0.907 (0.875-0.938), P = 0.155. The secondary outcome for poor functional outcome (MRS ≥ 4) was 12.4% and the AUROCs and 95% confidence intervals for prediction were GCS: 0.617 (0.597-0.637) vs. GCS-M: 0.613 (0.593-0.633), P = 0.616. The subgroup analyses of patients with and without TBI demonstrated consistent discrimination ability between the GCS and GCS-M. The AUROC values of the GCS vs. GCS-M models for 30-day mortality and poor functional outcome were 0.92 (0.821-1.0) vs. 0.92 (0.824-1.0) ( P = 0.64) and 0.75 (0.72-0.78) vs. 0.74 (0.717-0.758) ( P = 0.21), respectively.
CONCLUSION: In the prehospital setting, on-scene GCS-M was comparable to GCS in predicting 30-day mortality and poor functional outcomes among patients with trauma, whether or not there was a TBI.
METHODS: This population-based cohort study included all children with CHD registered in the Pediatric Cardiology Clinical Information System born between 2006 and 2020 in Johor, Malaysia. The mortality rate was calculated, and Cox proportional hazard regression analysis was used to determine factors associated with mortality. The Kaplan-Meier analysis was used to estimate the survival rates at 1, 5, 10 and 15 years.
RESULTS: There were 5728 patients with CHD studied, with 1543 (27%) lesions resolved spontaneously, 322 (5.6%) were treated with comfort care, 1189 (21%) required no intervention, and 2674 (47%) needed surgery or intervention. The overall mortality rate was 15%, with a median age of death of 3.7 months (IQR 0.9-9.8 months). Preoperative/intervention death was observed in 300 (11%), and 68 (3.2%) children died within 30 days of surgery or intervention. The overall estimated survival at 1, 5, 10 and 15 years was 88%, 85%, 84% and 83%, respectively. The independent factors associated with mortality were male gender, associated syndrome or extra-cardiac defect, pulmonary hypertension, antenatal diagnosis and severe lesions.
CONCLUSIONS: Eight out of 10 patients with CHDs survived up to 15 years of age. However, 10% of CHDs who require intervention die before the procedure. Thus, improving congenital cardiac surgery and enhancing the overall healthcare system are crucial to improve survival.