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  1. Shigli K, Nayak SS, Lagali-Jirge V, Kusurkar RA, Nerali JT, Oginni FO
    Gerontol Geriatr Educ, 2022 04 15;43(4):468-481.
    PMID: 35422199 DOI: 10.1080/02701960.2022.2058936
    The proportion of older adults is on the rise. Management of dental problems in this group is different from the general population, and hence requires special training. Gerodontology is yet to find its place in the Indian dental curriculum. A lack of training would result in inadequate care delivery. In this article, we share our views on the need for inclusion of the subject, potential challenges, and a guide for incorporation of gerodontology in undergraduate and postgraduate curriculum in the Indian dental institutes. We propose a framework based on the salient features of Kern's 6-step approach for curriculum development and Kotter's 8-step change management model. Some features are common to both the models. A combination of these models includes the following salient features: Problem identification and general needs assessment, beginning with a sense of urgency and targeted needs assessment, communication of the vision for change, working in guided coalitions and defining clear goals and objectives, adopting the relevant educational strategies, implementation strategies to enable change and generating short-term wins, evaluating the effectiveness of the curricular reform and sustaining and anchoring the change. The proposed framework may also be useful for countries where gerodontology is yet to be implemented.
  2. Dowsett L, Porras AR, Kruszka P, Davis B, Hu T, Honey E, et al.
    Am J Med Genet A, 2019 02;179(2):150-158.
    PMID: 30614194 DOI: 10.1002/ajmg.a.61033
    Cornelia de Lange syndrome (CdLS) is a dominant multisystemic malformation syndrome due to mutations in five genes-NIPBL, SMC1A, HDAC8, SMC3, and RAD21. The characteristic facial dysmorphisms include microcephaly, arched eyebrows, synophrys, short nose with depressed bridge and anteverted nares, long philtrum, thin lips, micrognathia, and hypertrichosis. Most affected individuals have intellectual disability, growth deficiency, and upper limb anomalies. This study looked at individuals from diverse populations with both clinical and molecularly confirmed diagnoses of CdLS by facial analysis technology. Clinical data and images from 246 individuals with CdLS were obtained from 15 countries. This cohort included 49% female patients and ages ranged from infancy to 37 years. Individuals were grouped into ancestry categories of African descent, Asian, Latin American, Middle Eastern, and Caucasian. Across these populations, 14 features showed a statistically significant difference. The most common facial features found in all ancestry groups included synophrys, short nose with anteverted nares, and a long philtrum with thin vermillion of the upper lip. Using facial analysis technology we compared 246 individuals with CdLS to 246 gender/age matched controls and found that sensitivity was equal or greater than 95% for all groups. Specificity was equal or greater than 91%. In conclusion, we present consistent clinical findings from global populations with CdLS while demonstrating how facial analysis technology can be a tool to support accurate diagnoses in the clinical setting. This work, along with prior studies in this arena, will assist in earlier detection, recognition, and treatment of CdLS worldwide.
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