Materials and methods: We analysed 100 unrelated HA and 15 unrelated HB patients for genetic alterations in the F8 and F9 genes by using the long-range PCR, DNA sequencing, and the multiplex-ligation-dependent probe amplification assays. The prediction software was used to confirm the effects of these mutations on factor VIII and IX proteins.
Results: 44 (53%) of the severe HA patients were positive for F8 intron 22 inversion, and three (3.6%) were positive for intron one inversion. There were 22 novel mutations in F8, including missense (8), frameshift (9), splice site (3), large deletion (1) and nonsense (1) mutations. In HB patients, four novel mutations were identified including the splice site (1), small deletion (1), large deletion (1) and missense (1) mutation.
Discussion: The mutational spectrum of F8 in Malaysian patients is heterogeneous, with a slightly higher frequency of intron 22 inversion in these severe HA patients when compared to other Asian populations. Identification of these mutational profiles in F8 and F9 genes among Malaysian patients will provide a useful reference for the early detection and diagnosis of HA and HB in the Malaysian population.
Materials and Methods: The coagulometer for factor VIII assay is Sysmex CS-5100. All data were expressed as mean ± standard deviation (SD).
Results: A total of 135 cases were studied. Of these, 100 cases were of mild hemophilia A diagnosed by molecular genetics and, 15 cases were positive for LAC, which were confirmed by dilute Russell Viper venom test. Clot-based one-stage APTT assay showed 65% sensitivity and 80% specificity in diagnosing mild hemophilia A cases and out of 15 LAC cases, it showed false positivity in five cases. Chromogenic assay showed 85% sensitivity and 90% specificity in diagnosing mild hemophilia cases and was 100% specific in excluding LAC cases.
Conclusions: One-stage APTT assay is the most commonly used test for determining factor VIII levels but chromogenic assay are considered as the gold standard and recommended as the reference method by European Pharmacopoeia and ISTH subcommittee. Mild hemophilia A patients with missense mutations show discrepancy between the one-stage clot-based APTT assay and chromogenic assays for determination of factor VIII level and this can lead to misdiagnosis or misclassification of mild hemophilia A. Therefore, it is recommended that both the assays should be used in the evaluation of mild hemophilia cases.
Objective: This study aimed to develop a maternal blues scale through bonding attachments to predict postpartum blues.
Method: The research design consisted of three stages: 1) phenomenology design and focus group discussion; 2) development and construction of the maternal blues scale, and 3) a cross-sectional study to measure validation of the scales. Respondents were postpartum mothers in the first week after birth. The sample comprised 501 participants. Sampling was done by consecutive sampling at the Public Health Center (PUSKESMAS) in the South Jakarta area. Data analysis used exploratory factor analysis (EFA) and confirmatory factor analysis (CFA), correlation, and a diagnostic testing .
Results: Item analysis produced 32 items consisting of 24 items regarding the mother's role and duties as internal factors and eight factors involving social, cultural, and economic support as external factors. Both factors were valid and reliable in predicting postpartum blues with indicators (t loading factors ≥ 1.96, standardized loading factor (SLF) ≥.50, internal factors: construct reliability (CR) ≥ .70 and extraction variants (VE) ≥ .50 and external factors: CR ≥ .74 to .83 VE ≥ .50 to .63). The relationship with Kennerley's maternity blues as a gold standard was significant. Internal factors had a score of 53, with a sensitivity of 60.2%. The external factors score was 19, with a sensitivity of 77.3%.
Conclusion: The new scale for postpartum blues prediction developed displayed internal consistency and validity of each indicator (internal and external factors) that was good (CR ≥ .70; VE ≥ .50). This scale provides a feasible tool to predict postpartum blues.