Methods: This retrospective prevalence study was based on medical records of the heart center of Mazandaran Province on all patients diagnosed with AMI in Mazandaran, northern Iran between 2013 and 2015. Patients' sex and the day, month, year and time of hospital admission were extracted from patients' records. Moreover, the meteorological reports were gathered.
Results: A statistically significant difference was found between the distributions of AMI cases across 12 months of the year (P < 0.01). Fuzzy clustering analysis using 16 different climatic variables showed that March, April, and May were in the same cluster together. The other 9 months were in different clusters.
Conclusion: Significant increase in AMI was seen in March, April and May (cold to hot weather).
METHODS: A cross sectional study on nationally representative sample deaths that occurred in Malaysia during 2013 was used. A VA questionnaire suitable for local use was developed. Trained field interviewers visited the family members of the deceased at their homes and conducted face to face interviews with the next of kin. Completed questionnaires were reviewed by trained physicians who assigned multiple and underlying causes. Reference diagnoses for validation were obtained from review of medical records (MR) available for a sample of the overall study deaths.
RESULTS: Corresponding MR diagnosis with matched sample of the VA diagnosis were available in 2172 cases for the validation study. Sensitivity scores were good (>75%) for transport accidents and certain cancers. Moderate sensitivity (50% - 75%) was obtained for ischaemic heart disease (64%) and cerebrovascular disease (72%). The validation sample for deaths due to major causes such as ischaemic heart disease, pneumonia, breast cancer and transport accidents show low cause-specific mortality fraction (CSMF) changes. The scores obtained for the top 10 leading site-specific cancers ranged from average to good.
CONCLUSION: We can conclude that VA is suitable for implementation for deaths outside the health facilities in Malaysia. This would reduce ill-defined mortality causes in vital registration data, and yield more accurate national mortality statistics.
METHODS: The medical records of 118 Malay patients with oral cancer admitted in HUSM from 1st January 1986 to 31st December 2005 were reviewed. Data collected include socio-demographic background, high-risk habits practiced, clinical and histological characteristics, and treatment profile of the patients. Survival status and duration were determined by active validation until 31st December 2006. Data entry and analysis were accomplished using SPSS version 12.0. The Kaplan-Meier method was used to perform survival estimates while the log-rank test and the Cox proportional hazards regression model were employed to perform univariate analysis and multivariable analysis of the variables, respectively.
RESULTS: The overall five-year survival rate of Malay patients with oral cancer was 18.0%, with a median survival time of 9 months. Significant factors that influenced survival of the patients were age, sex, tumour site, TNM stage, histological type, and treatment received.
CONCLUSION: Survival of oral cancer patients in HUSM was very low. Being elderly, male, presenting with an advanced stage at diagnosis, and not having treatment all contributed to poor survival.