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Diabetes Mellitus (DM) is a serious threat to global health with an increasing prevalence and incidence rates,The number of people who had DM was 463 million in 2019,and according to international diabetes federation [IDF] this number will have reached 700 million in 2045 (1).
One of the most serious complication of DM is diabetic ketoacidosis (DKA) which is a life-threatening acute copmlication of diabetes mellitus [DM], [DKA] occur in patients with both type 1 and type 2 diabetes, for which type 1 and type 2 diabetes is responsible for 66% and 34% patients respectively (2,3).
Despite the development of improved treatment, DKA remains at a high incidence of recurrence and a leading cause of mortality among patients with DM, resulting in an elevated burden for patients,hospitals,and healthcare providers(4,5).
As a systemic metabolic disease,DKA has been reported to be associated with the inflammatory response of the hyperglycaemic state(6,7). the inflammatory markers like (platelets-lymphocyte ratio, red blood cell distribution width) play an important role in the development of inflammation and affect prognosis of DKA One of the most things that affected by diabetic ketoacidosis is hydration status, As DKA can cause dehydration and some complications may result from that such as cerebral edema,coma or even death(8,9).
there are many methods to estimate the hydration status such as clinical dehydration scale(CDS), hematological parameters (RBC, Hct , Hb MCV, PLT ,WBC) which are used as an alternative approach to estimate the extent of dehydration in DKA patients(10,11).
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| Measure | Description | Time Frame |
|---|---|---|
| Measure of inflammatory markers like (platelets-lymphocyte ratio, red blood cell distribution width) changes in DKA patients and affection of these changes on inflammation development and prognosis of DKA | the inflammatory markers like (platelets-lymphocyte ratio, red blood cell distribution width) play an important role in the development of inflammation and affect prognosis of DKA and and changes in these markers also affect duration of hospital stay and mortality rate in DKA patients | Baseline |
| Measure | Description | Time Frame |
|---|---|---|
| Hematological parameters (RBC, Hct , Hb MCV, PLT ,WBC) which are used as an alternative approach to estimate the extent of dehydration in DKA patients | there are many methods to estimate the hydration status such as clinical dehydration scale(CDS), hematological parameters (RBC, Hct , Hb MCV, PLT ,WBC) which are used as an alternative approach to estimate the extent of dehydration in DKA patients |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Mohamed Mamdouh Tawfik abdelaleem | Contact | 01060264431 | mohamaad81095@gmail.com | |
| Hwaida Abdelhakem Nafady, Lecturer | Contact | 0109 472 1339 | howaidanafady@yahoo.com |
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Faculty of medicine assuit university | Asyut | Egypt |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 24357215 | Background | American Diabetes Association. Diagnosis and classification of diabetes mellitus. Diabetes Care. 2014 Jan;37 Suppl 1:S81-90. doi: 10.2337/dc14-S081. No abstract available. | |
| 26266145 | Background | Seth P, Kaur H, Kaur M. Clinical Profile of Diabetic Ketoacidosis: A Prospective Study in a Tertiary Care Hospital. J Clin Diagn Res. 2015 Jun;9(6):OC01-4. doi: 10.7860/JCDR/2015/8586.5995. Epub 2015 Jun 1. |
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| ID | Term |
|---|---|
| D016883 | Diabetic Ketoacidosis |
| ID | Term |
|---|---|
| D007662 | Ketosis |
| D000138 | Acidosis |
| D000137 | Acid-Base Imbalance |
| D008659 | Metabolic Diseases |
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| Baseline |
| 23751904 | Background | Misra S, Oliver N, Dornhorst A. Diabetic ketoacidosis: not always due to type 1 diabetes. BMJ. 2013 Jun 10;346:f3501. doi: 10.1136/bmj.f3501. No abstract available. |
| 23757621 | Background | Lohiya S, Kreisberg R, Lohiya V. Recurrent diabetic ketoacidosis in two community teaching hospitals. Endocr Pract. 2013 Sep-Oct;19(5):829-33. doi: 10.4158/EP13057.RA. |
| 19520872 | Background | Zargar AH, Wani AI, Masoodi SR, Bashir MI, Laway BA, Gupta VK, Wani FA. Causes of mortality in diabetes mellitus: data from a tertiary teaching hospital in India. Postgrad Med J. 2009 May;85(1003):227-32. doi: 10.1136/pgmj.2008.067975. |
| 28672172 | Background | Xu L, Wang L, Huang X, Liu L, Ke W, He X, Huang Z, Liu J, Wan X, Cao X, Li Y. Baseline red blood cell distribution width predicts long-term glycemic remission in patients with type 2 diabetes. Diabetes Res Clin Pract. 2017 Sep;131:33-41. doi: 10.1016/j.diabres.2017.06.019. Epub 2017 Jun 15. |
| 28222533 | Background | Li W, Huang E, Gao S. Type 1 Diabetes Mellitus and Cognitive Impairments: A Systematic Review. J Alzheimers Dis. 2017;57(1):29-36. doi: 10.3233/JAD-161250. |
| 29900641 | Background | Wolfsdorf JI, Glaser N, Agus M, Fritsch M, Hanas R, Rewers A, Sperling MA, Codner E. ISPAD Clinical Practice Consensus Guidelines 2018: Diabetic ketoacidosis and the hyperglycemic hyperosmolar state. Pediatr Diabetes. 2018 Oct;19 Suppl 27:155-177. doi: 10.1111/pedi.12701. No abstract available. |
| 25868190 | Background | Bruck E. Laboratory tests in the analysis of states of dehydration. Pediatr Clin North Am. 1971 Feb;18(1):265-83. doi: 10.1016/s0031-3955(16)32538-x. |
| 3928249 | Background | Knaus WA, Draper EA, Wagner DP, Zimmerman JE. APACHE II: a severity of disease classification system. Crit Care Med. 1985 Oct;13(10):818-29. |
| D009750 |
| Nutritional and Metabolic Diseases |
| D048909 | Diabetes Complications |
| D003920 | Diabetes Mellitus |
| D004700 | Endocrine System Diseases |