BackgroundAging is an inevitable part of life. One can maintain well-being and wellness even after discharge and/or transition if his or her functional decline is minimized, sudden decline is prevented, and functioning is promoted during hospitalization. Caring appropriately for elderly patients requires the systematic application of Senior-Friendly Hospital principles to all operating systems, including medical centres’ organization and environment, as well as patient treatment processes. The Senior-Friendly Hospital framework is valid and important for patient safety and quality improvement. This study aimed to make recommendations regarding the development of the Korean Framework for Senior-Friendly Hospitals for older patients’ care management, patient safety interventions, and health promotion, via a Delphi survey.MethodsTwo rounds of Delphi surveying were conducted with 15 participants who had at least 3 years’ experience in accreditation surveying and medical accreditation standards, survey methods, and accreditation investigator education. In each round, we calculated statistics describing each standard’s validity and feasibility.ResultsThe Korean Framework for Senior-Friendly Hospitals included 4 Chapters, 11 categories, and 67 standards through consensus of the Senior-Friendly Hospitals task force and experts’ peer review. After the two rounds of Delphi surveying, validity evaluation led to no changes in standards of the Senior-Friendly Hospitals; however, the number of standards showing adequate validity decreased from 67 to 58. Regarding feasibility, no changes were necessary in the standards; however, the number of categories showing adequate feasibility decreased from 11 to 8 and from 67 to 30, respectively. The excluded categories were 3.2, 4.2, and 4.3 (service, transportation, and signage and identification). The highest feasibility values were given to standards 2.1.1, 4.1.4, and 4.1.6. The highest feasibility score was given to standard 2.4.2.ConclusionsThe Korean Framework for Senior-Friendly Hospitals needs to include 4 Chapters, 8 categories, and 30 standards. The Accreditation Program for Healthcare Organizations should include Senior-Friendly Hospitals -relevant standards considering Korea’s medical environment.

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BackgroundMutations in the gene encoding periaxin (PRX) are known to cause autosomal recessive Dejerine-Sottas neuropathy (DSN) or Charcot-Marie-Tooth disease type 4F. However, there have been no reports describing Korean patients with these mutations.Case ReportWe examined a Korean DSN patient with an early-onset, slowly progressive, demyelinating neuropathy with prominent sensory involvement. Whole-exome sequencing and subsequent capillary sequencing revealed novel compound heterozygous nonsense mutations (p.R392X and p.R679X) in PRX. One mutation was transmitted from each of the patient's parents. No unaffected family member had both mutations, and the mutations were not found in healthy controls.ConclusionsWe believe that these novel compound heterozygous nonsense mutations are the underlying cause of DSN. The clinical, electrophysiologic, and pathologic phenotypes in this family were similar to those described previously for patients with PRX mutations. We have identified the first PRX mutation in a Korean patient with DSN.

Context Some individuals represent forms of “atypical diabetes” (AD) that do not conform to typical features of either type 1 diabetes (T1D) or type 2 diabetes (T2D). These forms of AD display a range of phenotypic characteristics that likely reflect different endotypes based on unique etiologies or pathogenic processes. Objective To develop an analytical approach to identify and cluster phenotypes of AD. Methods We developed Discover Atypical Diabetes (DiscoverAD), a data mining framework, to identify and cluster phenotypes of AD. DiscoverAD was trained against characteristics of manually classified patients with AD among 278 adults with diabetes within the Cameron County Hispanic Cohort (CCHC) (Study A). We then tested DiscoverAD in a separate population of 758 multiethnic children with T1D within the Texas Children’s Hospital Registry for New-Onset Type 1 Diabetes (TCHRNO-1) (Study B). Results We identified an atypical diabetes frequency of 11.5% in the CCHC (Study A) and 5.3% in the pediatric TCHRNO-1 (Study B). Cluster analysis identified four distinct groups of AD in Study A, cluster 1: positive for the 65 kDa glutamate decarboxylase autoantibody (GAD65Ab), adult-onset, long disease duration, preserved beta-cell function, no insulin treatment; cluster 2: GAD65Ab-negative, diagnosed at age ≤ 21 years; cluster 3: GAD65Ab-negative, adult-onset, poor beta-cell function, lacking central obesity; cluster 4: diabetic ketoacidosis (DKA)-prone participants lacking a typical T1D phenotype. Applying DiscoverAD to the T1D pediatric patients in Study B revealed two distinct groups of AD, cluster 1: autoantibody-negative, poor beta-cell function, lower body-mass index (BMI); cluster 2: autoantibody-positive, higher BMI, higher incidence of DKA. Conclusion DiscoverAD can be adapted to different datasets to identify and define phenotypes of participants with AD based on available clinical variables.

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