METHODS: All 5616 patients, diagnosed with breast cancer in University Malaya Medical Centre from 1999 to 2013 were included. In 945 elderly patients (aged 65 years and above), multivariable logistic regression was performed to identify factors associated with treatment, following adjustment for age, ethnicity, tumor, and other treatment characteristics. The impact of lack of treatment on survival of the elderly was assessed while accounting for comorbidities.

RESULTS: One in five elderly patients had comorbidities. Compared to younger patients, the elderly had more favorable tumor characteristics, and received less loco-regional treatment and chemotherapy. Within stage I-IIIa elderly breast cancer patients, 10 % did not receive any surgery. These patients were older, more likely to be Malays, have comorbidities, and bigger tumors. In elderlies with indications for adjuvant radiotherapy, no irradiation (30 %) was associated with increasing age, comorbidity, and the absence of systemic therapy. Hormone therapy was optimal, but only 35 % of elderly women with ER negative tumors received chemotherapy. Compared to elderly women who received adequate treatment, those not receiving surgery (adjusted hazard ratio: 2.30, 95 %CI: 1.10-4.79), or radiotherapy (adjusted hazard ratio: 1.56, 95 %CI: 1.10-2.19), were associated with higher mortality. Less than 25 % of the survival discrepancy between elderly women receiving loco-regional treatment and no treatment were attributed to excess comorbidities in untreated patients.

Methods: This cross-sectional study included 222 STEMI patients admitted to two tertiary hospitals in Malaysia. By determining symptom-to-door time, the study population was categorised into two definitive treatment seeking groups: early (≤ 3 h) and delayed (> 3 h). Data was collected focusing on socio-demographical data, risk factors and comorbidities, clinical presentation, situational factors and action taken by patients.

Results: The mean age of our patients was 58.0 (SD = 11.9) years old, and the population consisted of 186 (83.8%) males and 36 (16.2%) females. Our study found that the median symptom-to-door time was 130.5 (IQR 240) min, with 64% of subjects arriving early and 36% arriving late. Pre-hospital delays were found to be significant among females (adj OR = 2.42; 95% CI: 1.02, 5.76; P = 0.046), patients with recurrence of similar clinical presentations (adj OR = 2.74; 95% CI: 1.37, 5.46; P = 0.004), patients experiencing atypical symptoms (adj OR = 2.64; 95% CI: 1.11, 6.31; P = 0.029) and patients who chose to have their first medical contact (FMC) for their symptoms with a general practitioner (adj OR = 2.80; 95% CI: 1.20, 6.56; P = 0.018). However, patients with hyperlipidaemia (adj OR = 0.46; 95% CI: 0.23, 0.93; P = 0.030), self-perceived cardiac symptoms (adj OR = 0.36; 95% CI: 0.17, 0.73; P = 0.005) and symptoms that began in public places (adj OR = 0.21; 95% CI: 0.06, 0.69; P = 0.010) tended to seek treatment earlier.

MATERIAL AND METHODS: This is a prospective study of women undergoing bariatric surgery, between May 2017 and April 2018. FSD was diagnosed using the Malay version of Female Sexual Function Index (MVFSFI) questionnaire. Patients filled up the questionnaire before and 6 months after surgery. Association between BMI reduction and FSFI score improvement was measured using Fisher's exact test. Outcomes between types of surgery (sleeve gastrectomy and gastric bypass) was compared.

Methods: This is a multinational, multicenter, longitudinal, and observational registry of PC patients presenting to participating tertiary-care hospitals in eight Asian countries (www.clinicaltrials.gov NCT02546908. Registry Identifier: NOPRODPCR4001). Approximately 3500-4000 eligible patients with existing or newly diagnosed high-risk localized PC (cohort 1), nonmetastatic biochemically recurrent PC (cohort 2), or metastatic PC (cohort 3) will be consecutively enrolled and followed-up for 5 years. An enrollment cap of 600 patients each will be applied to cohorts 1 and 2. Disease status is collected at enrollment, and outcome variables captured at 3-monthly intervals include diagnostic/staging, treatments including reason for change, laboratory results, comorbidities, and concomitant medications. Treatments and survival outcomes will be captured real time until study end. Patient-reported quality-of-life will be measured every 6 months, and medical resource utilization summarized at study end. Data analysis will include exploratory analyses of potential associations between multiple risk factors and socioeconomic variables with disease progression and evaluation of various treatments for PC including novel therapies on clinical outcome and health-related quality-of-life outcomes.

Results: 3636 men with PC were enrolled until July 2018; 416 in cohort 1, 399 in cohort 2 and 2821 in cohort 3.

METHODS: A multi-center retrospective study design was used to collect data from TB patients in four different states of Malaysia, namely Penang, Sabah, Sarawak, and Selangor. The study included medical records of TB patients admitted to the selected hospitals in the period from January 2006 to March 2009. Medical records with incomplete data were not included. Patient demographics and clinical data were collected using a validated data collection form.

RESULTS: Of all patients with TB (9337), the prevalence of smokers was 4313 (46.2%). Among smokers, 3584 (83.1%) were associated with pulmonary TB, while 729 (16.9%) were associated with extrapulmonary TB. Male gender (OR = 1.43, 95% CI 1.30-1.58), Chinese ethnicity (OR = 1.23, 95% CI 1.02-1.49), Sarawak indigenous ethnicity (OR = 0.74, 95% CI 0.58-0.95), urban residents (OR = 1.46, 95% CI 1.33-1.61), employed individuals (OR = 1.21, 95% CI 1.09-1.34), alcoholics (OR = 4.91, 95% CI 4.04-5.96), drug abusers (OR = 7.43, 95% CI 5.70-9.60) and presence of co-morbid condition (OR = 1.27, 95% CI 1.16-1.40) all showed significant association with smoking habits. This study found that 3236 (75.0%) patients were successfully treated in the smokers' group, while 4004 (79.7%) patients were non-smokers. The proportion of deaths (6.6%, n = 283), defaulters (6.6%, n = 284) and treatment interruptions (4.7%, n = 204) was higher in the smokers' group.