AIMS: To describe the MD ASA technique and present its preliminary application.
METHODS: MD ASA breaks down the face into five hierarchies (H1-H5). H1 shifts patients' focus from "distractions" (individual lines and folds) toward the overall messages their face portrays, based on eight Emotional Attributes: four negative (tired, sad, angry, and saggy); four positive (youthful, attractive, contoured, and feminine/masculine). Three priority Emotional Attributes are selected for each patient. This is followed by a process of narrowing down through facial thirds (H2), periorbital and perioral dynamics (H3), facial units (H4), and subunits (H5), to arrive at a final assessment. Based on the key facial signs identified, this can be translated into MD Codes equations and thus a treatment formula. A retrospective analysis was performed based on 12 female patients injected by expert clinicians at an educational event. All patients were selected for, and treated using, a single MD Codes formula derived from a common MD ASA work-up.
RESULTS: There were substantial differences between patients and clinicians in their views of which anatomical areas needed treatment-but good alignment on priority Emotional Attributes. Patients were treated only for three negative Emotional Attributes, but improvements were observed across all eight attributes.
CONCLUSIONS: MD ASA provides a practical method for translating facial messages into actionable injectable treatment plans and facilitates greater patient-clinician alignment. Prospective studies are warranted.
METHODOLOGY: This cross-sectional study was conducted from October 2017 to December 2017 and involved female patients with breast cancer. The QoL scores and domains were determined using the EuroQol EQ-5D-5L, and were presented as the utility value and visual analog scores, respectively.
RESULTS: We recruited a total of 173 women, aged 33-87 years. The median VA score was 80.00 (interquartile range [IQR] 70.00-90.00); the median utility value was 0.78 (interquartile range [IQR] 0.65-1.00. Women who did not take traditional medicine had a higher utility index score of 0.092 (95% CI 0.014-0.171), and women with household income of RM3000-5000 had a higher utility index score of 0.096 (95% CI 0.011-0.180).
CONCLUSION: Traditional medicine consumption and household income were significantly associated with lower QoL. The pain/discomfort domain was the worst affected QoL domain and was related to traditional medicine use and household income. Addressing pain management in patients with breast cancer and the other factors contributing to lower QoL may improve the QoL of breast cancer survivors in the future.
METHODS: Qualitative study using six focus groups and 14 semi-structured interviews with doctors responsible for dengue management at a large tertiary hospital in Malaysia.
RESULTS: Dengue was recognised as difficult to diagnose and manage. Wide awareness and use of both WHO and Ministry of Health guidelines was reported, but several limitations noted in their coverage of particular patient groups. However, the phrase 'guidelines' also referred to local algorithms for fluid management, which were less clinically evidence-based. Where Medical Officers were well trained in the appropriate use of evidence-based guidelines, barriers to use included: the potential for 'following the algorithm' to undermine junior clinicians' claims to clinical expertise; inability to recognise the pattern of clinical progress; and lack of clinical experience. Other reported barriers to improved case management were resource constraints, poor referral practices, and insufficient awareness of the need for timely help seeking.
CONCLUSIONS: Awareness of clinical practice guidelines is a necessary, but not sufficient, condition for optimal dengue management. In high prevalence settings, all clinical staff would benefit from regular dengue management training which should include diagnosis, practice in monitoring disease progression and the use of clinical practice guidelines in a range of clinical contexts.
METHODS: From June 2013 through May 2014, diarrheal stool samples were collected at one national referral hospital in Thimphu, two regional referral hospitals in the eastern and central regions, and one general hospital in the western region of Bhutan. NoV was detected by reverse transcription-polymerase chain reaction (RT-PCR), by amplifying the capsid gene. The RT-PCR results were confirmed by nucleotide sequencing of the amplicons.
RESULTS: The proportion of NoV-positive stool samples was 23.6% (147/623), of which 76.9% were NoV GII and the remainders were NoV GI. The median age of infected children was 15.5 months, with a fairly balanced female: male ratio. NoV GII was most prevalent in the colder months (late November-mid April) and NoV GI had the highest prevalence in the summer (mid April-late September). Nucleotide sequencing was successful in 99 samples of GII strains. The most common genotypes were GII.3 (42.6%), GII.4 Sydney 2012 (15.8%), and GII.4 unassigned (11.9%). No GII.21 was found in any child in the present study. Phylogenetic analysis showed that GII.3 strains in the present study belonged to an independent cluster in lineage B. These strains shared an ancestor with those from different countries and Bhutanese strains circulating during 2010.
CONCLUSION: NoV remains an important cause of diarrhea among Bhutanese children. Genotype GII.3 from a single ancestor strain has spread, replacing the previously circulating GII.21. Current NoV genotypes are similar to the strains circulating worldwide but are primarily related to those in neighboring countries. NoV GII is prevalent during the cold season, while GI is prevalent during the summer. To develop a NoV infection control policy, further studies are needed.