Objective: To explore factors influencing the incidence of hypoglycemia in diabetic hemodialysis patients. Methods: we recorded the valid data from 557 patient from May 2017 to February 2021. This study consists of 3 steps, including collecting step, screening step and analysis step. In collecting step, our mainly task was collecting the data from the eligible patients. In screening step, we assigned patients to hypoglycemia and non-hypoglycemia based on whether they had a hypoglycemic event or not. Also, we will exclude ineligible patient data at this stage. In analysis step, we use software to analyze the data, and analyze related factors by multivariate Logistic regression analysis. Result: Compared with non- hypoglycemia group, we found that four factor of hypoglycemia group affect hypoglycemia event, they were significantly difference, including albumin, BMI, age, and hs-CRP (p < 0.05). Other factors were no significantly difference between hypoglycemia group and non- hypoglycemia group. In further analysis, the result displays that albumin, BMI, age, and hs-CRP were independent risk factors for hypoglycemia event (p < 0.05). Conclusion: albumin, BMI, age, and hs-CRP were impact factors of hypoglycemia in diabetic hemodialysis patients. Furthermore, the independent risk factors of hypoglycemia event included albumin, BMI, age, and hs-CRP. Of those, albumin and BMI can be control or affected by drugs or patient behaviors.
Published in | American Journal of Nursing Science (Volume 10, Issue 1) |
DOI | 10.11648/j.ajns.20211001.30 |
Page(s) | 102-105 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
Copyright |
Copyright © The Author(s), 2021. Published by Science Publishing Group |
Hypoglycemia, Diabetes, Hemodialysis
[1] | Kalra S. Hypoglycemia in DM. Recent Adv Endocrinol. 2017; 64 (9): 1090–1093. |
[2] | Holstein A, Egberts EH. Risk of hypoglycaemia with oral antidiabetic agents inpatients withtype2 DM. Exp Clin Endocrinol DM. 2017; 111 (7): 405–414. |
[3] | American DM Association Workgroup on Hypoglycemia. Defining and reporting hypoglycemia in DM. DM Care. 2015; 28: 1245–1249. |
[4] | Frier BM. Hypoglycaemia in diabetes mellitus: epidemiology and clinical im-plications. Nat. Rev. Endocrinol. 2018; 10: 711–722. |
[5] | Genet M, Lee LC, Baillargeon B, Guccione JM, Kuhl E. Modeling pathologies of diastolic and systolic heart failure. Ann. Biomed. Eng. 2016; 44: 112–127. |
[6] | Bangen KJ, Gu Y, Gross AL, et al. Relationship between type 2 DM mellitus and cognitive change in a multiethnic elderly cohort. J Am Geriatr Soc. 2016; 63: 1075–83. |
[7] | Masakane I, Nakai S, Ogata S, Kimata N, Hanafusa N, Hamano T, et al. An overview of regular dialysis treatment in Japan (as of 31 December 2013). Ther Apher Dial. 2015; 19: 540-74. |
[8] | United States Renal Data System. US renal data system 2015 annual data report: epidemiology of kidney disease in the United States. Am J Kidney Dis. 2016; 67: S1-S434. |
[9] | Freedman BI, Andries L, Shihabi ZK, Rocco MV, Byers JR, Cardona CY, et al. Glycated albumin and risk of death and hospitalizations in diabetic dialysis patients. Clin J Am Soc Nephrol. 2019; 6: 1635-43. |
[10] | Isshiki K, Nishio T, Isono M, Makiishi T, Shikano T, Tomita K, et al. Glycated albumin predicts the risk of mortality in type 2 diabetic patients on hemodialysis: evaluation of a target level for improving survival. Ther Apher Dial. 2017; 18: 434-442. |
[11] | Yajima T, Yajima K, Hayashi M, Yasuda K, Takahashi H, Yamakita N. Serum albumin-adjusted glycated albumin is a better predictor of mortality in diabetic patients with end-stage renal disease on hemodialysis. J Diabetes Complicat. 2016; 30: 786-9. |
[12] | Abe M, Kalantar-Zadeh K. Haemodialysis-induced hypoglycaemia and glycaemic dis-arrays. Nat Rev Nephrol. 2018; 11: 302-313. |
[13] | New Zealand Ministry of Health. WIESNZ16 cost weights. Wellington (NewZealand): New Zealand Ministry of Health; 2016. |
[14] | Dynkevich Y, Rother KI, Whitford I, et al. Tumors, IGF-2, and hypoglycemia: insights from the clinic, the laboratory and the historical archive. Endocr Rev. 2018; 34 (6): 798-826. |
[15] | Sorlini M, Benini F, Cravarezza P, Romanelli G. Hypoglycemia, an atypical early sign of hepatocellular carcinoma. J Gastrointest Cancer. 2018; 41 (3): 209-211. |
[16] | Basu A, Service FJ, Yu L, Heser D, Ferries LM, Eisenbarth G. Insulin autoimmunity and hypoglycemia in seven white patients. Endocr Pract. 2015; 11 (2): 97e103. |
APA Style
Hongyan Peng, Rui Cao, Yaping Huang, Chazhen Li. (2021). Factors Influencing the Incidence of Hypoglycemia in Diabetic Hemodialysis Patients. American Journal of Nursing Science, 10(1), 102-105. https://doi.org/10.11648/j.ajns.20211001.30
ACS Style
Hongyan Peng; Rui Cao; Yaping Huang; Chazhen Li. Factors Influencing the Incidence of Hypoglycemia in Diabetic Hemodialysis Patients. Am. J. Nurs. Sci. 2021, 10(1), 102-105. doi: 10.11648/j.ajns.20211001.30
AMA Style
Hongyan Peng, Rui Cao, Yaping Huang, Chazhen Li. Factors Influencing the Incidence of Hypoglycemia in Diabetic Hemodialysis Patients. Am J Nurs Sci. 2021;10(1):102-105. doi: 10.11648/j.ajns.20211001.30
@article{10.11648/j.ajns.20211001.30, author = {Hongyan Peng and Rui Cao and Yaping Huang and Chazhen Li}, title = {Factors Influencing the Incidence of Hypoglycemia in Diabetic Hemodialysis Patients}, journal = {American Journal of Nursing Science}, volume = {10}, number = {1}, pages = {102-105}, doi = {10.11648/j.ajns.20211001.30}, url = {https://doi.org/10.11648/j.ajns.20211001.30}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajns.20211001.30}, abstract = {Objective: To explore factors influencing the incidence of hypoglycemia in diabetic hemodialysis patients. Methods: we recorded the valid data from 557 patient from May 2017 to February 2021. This study consists of 3 steps, including collecting step, screening step and analysis step. In collecting step, our mainly task was collecting the data from the eligible patients. In screening step, we assigned patients to hypoglycemia and non-hypoglycemia based on whether they had a hypoglycemic event or not. Also, we will exclude ineligible patient data at this stage. In analysis step, we use software to analyze the data, and analyze related factors by multivariate Logistic regression analysis. Result: Compared with non- hypoglycemia group, we found that four factor of hypoglycemia group affect hypoglycemia event, they were significantly difference, including albumin, BMI, age, and hs-CRP (p < 0.05). Other factors were no significantly difference between hypoglycemia group and non- hypoglycemia group. In further analysis, the result displays that albumin, BMI, age, and hs-CRP were independent risk factors for hypoglycemia event (p < 0.05). Conclusion: albumin, BMI, age, and hs-CRP were impact factors of hypoglycemia in diabetic hemodialysis patients. Furthermore, the independent risk factors of hypoglycemia event included albumin, BMI, age, and hs-CRP. Of those, albumin and BMI can be control or affected by drugs or patient behaviors.}, year = {2021} }
TY - JOUR T1 - Factors Influencing the Incidence of Hypoglycemia in Diabetic Hemodialysis Patients AU - Hongyan Peng AU - Rui Cao AU - Yaping Huang AU - Chazhen Li Y1 - 2021/02/28 PY - 2021 N1 - https://doi.org/10.11648/j.ajns.20211001.30 DO - 10.11648/j.ajns.20211001.30 T2 - American Journal of Nursing Science JF - American Journal of Nursing Science JO - American Journal of Nursing Science SP - 102 EP - 105 PB - Science Publishing Group SN - 2328-5753 UR - https://doi.org/10.11648/j.ajns.20211001.30 AB - Objective: To explore factors influencing the incidence of hypoglycemia in diabetic hemodialysis patients. Methods: we recorded the valid data from 557 patient from May 2017 to February 2021. This study consists of 3 steps, including collecting step, screening step and analysis step. In collecting step, our mainly task was collecting the data from the eligible patients. In screening step, we assigned patients to hypoglycemia and non-hypoglycemia based on whether they had a hypoglycemic event or not. Also, we will exclude ineligible patient data at this stage. In analysis step, we use software to analyze the data, and analyze related factors by multivariate Logistic regression analysis. Result: Compared with non- hypoglycemia group, we found that four factor of hypoglycemia group affect hypoglycemia event, they were significantly difference, including albumin, BMI, age, and hs-CRP (p < 0.05). Other factors were no significantly difference between hypoglycemia group and non- hypoglycemia group. In further analysis, the result displays that albumin, BMI, age, and hs-CRP were independent risk factors for hypoglycemia event (p < 0.05). Conclusion: albumin, BMI, age, and hs-CRP were impact factors of hypoglycemia in diabetic hemodialysis patients. Furthermore, the independent risk factors of hypoglycemia event included albumin, BMI, age, and hs-CRP. Of those, albumin and BMI can be control or affected by drugs or patient behaviors. VL - 10 IS - 1 ER -