OAK

ResponseTrends in Hyperglycemic Crisis Hospitalizations and inand out-of-Hospital Mortality in the Last Decade Based on Korean National Health Insurance Claims Data

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저자
송선옥 ; 유지홍
키워드 (영문)
hospital mortalityhumanshospitalizationnational health programsrepublic of koreaout of hospitalnational health insurancemedicinefamily medicineclaims data
발행연도
2019-12
발행기관
대한내분비학회
유형
Article
초록
LWe would like to thank Dr. Son for his careful and thorough reading of our article [1] and for providing thoughtful comments and constructive suggestions. As Dr. Son indicated, our findings are compatible with those of other studies. As mentioned in our article, the global epidemiologic data on hyperglycemic crisis are insufficient compared with the data available on diabetic ketoacidosis (DKA). Epidemiologic data are influenced by various factors, including but not limited to race, region, and socioeconomic status. Therefore, we hope that further epidemiologic studies of hyperglycemic crisis will be conducted in many countries.
Dr. Son also suggested that we conduct a further analysis of socioeconomic characteristics and regional differences in our data to find potential factors that influenced trends in hyperglycemic crisis. We agree that in order to prevent hyperglycemic crisis, it is important to find the reasons for which it occurs. Other studies have presented analyses of socioeconomic and regional differences in hyperglycemic crisis [234]. Although we did not include a description of regional differences in our article, some relevant data are available from a Korean report [5]. In brief, throughout Korea, the highest number of claims cases was in the age range of 70 to 79 years. The number of claims cases in Gyeonggi Province increased by 272.46% from 2004 to 2013, while the number of those in Seoul increased by 215% during this 10-year period. Additionally, the number of patients with diabetes in Korea has increased in recent years [6], with the sharpest increases in Seoul and Gyeonggi Province [7]. We infer that the number of claims cases for hyperglycemic crisis increased in these two regions because of a concomitant increase in the number of people with diabetes.
Dr. Son's last comment was that International Classification of Diseases (ICD) codes do not enable hyperosmolar hyperglycemic state (HHS) and mixed state of acidosis and hyperosmolarity to be distinguished from DKA. As Dr. Son pointed out, the ICD codes of HHS and mixed state were not clearly classified, at least to a certain degree. With our goal of evaluating overall trends in hyperglycemic crisis in Korea, we used a broad spectrum of ICD codes for hyperglycemic crisis. As briefly mentioned in our article, the broad spectrum of ICD codes does constitute a limitation that may have affected our results, including the observed trends. It is necessary to find a way to analyze the data in a more fine-grained way. It will also be necessary to consider various other factors, such as developments in treatment and the treatment and control rate of diabetes in order to predict future trends more precisely.
Dr. Son's valuable comments enable a more thorough understanding of our article. We deeply appreciate Dr. Son's comments, which have enriched our study.
저널명
Endocrinology and Metabolism
저널정보
(2019-12). Endocrinology and Metabolism, Vol.34(4), 424–425
ISSN
2093-596X
EISSN
2093-5978
DOI
10.3803/EnM.2019.34.4.424
연구주제분류:
NHIMC 학술성과 > 1. 학술논문
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