Long-term follow-up of insulin autoimmune syndrome in an elderly patient

Hiroshi Yoshino; Kyoko Kawakami; Kenji Kohriyama; Gen Yoshino; Shinji Matsunaga; Hajime Takechi

doi:10.1002/ccr3.3150

Long-term follow-up of insulin autoimmune syndrome in an elderly patient

Hiroshi Yoshino, Kyoko Kawakami, Kenji Kohriyama, Gen Yoshino, Shinji Matsunaga, Hajime Takechi

Research output: Contribution to journal › Article › peer-review

6 Citations (Scopus)

Abstract

An 84-year-old man was admitted to our hospital. His blood glucose level was 20 mg/dL. Since laboratory tests showed high titers of insulin antibodies, insulin autoimmune syndrome (IAS) was diagnosed. In　order to avoid hypoglycemia, steroids can be effective in the long-term management of IAS in elderly patients.

Original language	English
Pages (from-to)	2941-2944
Number of pages	4
Journal	Clinical Case Reports
Volume	8
Issue number	12
DOIs	https://doi.org/10.1002/ccr3.3150
Publication status	Published - 12-2020
Externally published	Yes

All Science Journal Classification (ASJC) codes

General Medicine

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10.1002/ccr3.3150

Cite this

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title = "Long-term follow-up of insulin autoimmune syndrome in an elderly patient",

abstract = "An 84-year-old man was admitted to our hospital. His blood glucose level was 20 mg/dL. Since laboratory tests showed high titers of insulin antibodies, insulin autoimmune syndrome (IAS) was diagnosed. In　order to avoid hypoglycemia, steroids can be effective in the long-term management of IAS in elderly patients.",

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AU - Yoshino, Hiroshi

AU - Kawakami, Kyoko

AU - Kohriyama, Kenji

AU - Yoshino, Gen

AU - Matsunaga, Shinji

AU - Takechi, Hajime

PY - 2020/12

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AB - An 84-year-old man was admitted to our hospital. His blood glucose level was 20 mg/dL. Since laboratory tests showed high titers of insulin antibodies, insulin autoimmune syndrome (IAS) was diagnosed. In　order to avoid hypoglycemia, steroids can be effective in the long-term management of IAS in elderly patients.

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Long-term follow-up of insulin autoimmune syndrome in an elderly patient

Abstract

All Science Journal Classification (ASJC) codes

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