ISSN: 2473-0815 EMIJ

Endocrinology & Metabolism International Journal
Research Article
Volume 5 Issue 2 - 2017
Colombian Multicentric Study on Epidemiology of Diabetic Ketoacidosis in Children with Type 1 Diabetes Mellitus
Carolina Jaramillo-Arango1, Yúrika P López-Alarcón2, Juan C Jaramillo-Bustamante2, Mauricio Fernández-Laverde3, Rosalba Pardo-Carrero4 and Alejandro Marín-Agudelo2
1Pediatric endocrinologist, Grupo de diabetes Hospital Pablo Tobón Uribe, Colombia
2Pediatric intensive care specialist, Hospital General de Medellín, Colombia
3Pediatric intensive care specialist, Hospital Pablo Tobón Uribe and Clínica Soma, Universidad CES, Colombia
4Pediatric intensive care specialist, Clínica Infantil Colsubsidio, Universidad del Rosario, Colombia
Received: May 16, 2017 | Published: July 26, 2017
*Corresponding author: Carolina Jaramillo-Arango, Grupo de diabetes, Hospital Pablo Tobon Uribe-Medellín, Calle 78B # 69-240, Colombia, Tel: 445-9000; Email:
Citation: Jaramillo-Arango C, López-Alarcón YP, Jaramillo-Bustamente JC, Fernández-Laverde M, Pardo-Carrero R, et al. (2017) Colombian Multicentric Study on Epidemiology of Diabetic Ketoacidosis in Children with Type 1 Diabetes Mellitus. Endocrinol Metab Int J 5(2): 00118. DOI: 10.15406/emij.2017.05.00118

Abstract

Background: Type 1 diabetes is a growing disease worldwide, where ketoacidosis is a serious cause commonly resulting in hospitalization. Little is known regarding the epidemiology of the development of ketoacidosis in Colombian children with a known diagnosis of diabetes.

Objective: To describe the epidemiological profile of children with type 1 diabetes and ketoacidosis diagnosis.

Settings: Using the online survey, http://www.e-encuesta.com/answer.do?testid=cRctXSlVSLk, seven pediatric intensive care units of the four main cities throughout the country reported epidemiological data of the patients that were admitted with episodes of ketoacidosis other than diabetes debut, between May of 2014 and May of 2016.

Measurement and main results: Fifty-two events of diabetic ketoacidosis in 47 patients between ages 3 and 17 were included. The patients had mean glycosylated hemoglobin of 12% (SD: 2.9) and the median insulin dose used was 0.91 (IQR 0.74 – 1.2 UI/kg). One hundred percent of patients belonged to middle and low socioeconomic classes, 98.1% of patients were insured by the health care system, and 27.4% of patients did not have the necessary supplies for glucose control.

Conclusion: The glycosylated hemoglobin levels can evidence that diabetic ketoacidosis patients were generally not well controlled prior to admission. The most common precipitating factors of diabetic ketoacidosis were the low adherence to treatment and infections. Patients must be informed about the importance of adherence to treatment and how to adjust insulin on sick days; the health care system must ensure patients have the supplies necessary for optimal diabetes control.

Keywords: Type 1 diabetes mellitus; Diabetic ketoacidosis; Risk factors; Pediatric intensive care units; Epidemiology; Multicenter studies

Abbreviations

DKA: Diabetic Ketoacidosis; HbA1c: Glycosylated Hemoglobin; ISPAD: International Society for Pediatric and Adolescent Diabetes; Kg: Kilograms; L: liter; mEq: Milliequivalents; PICU: Pediatric Intensive Care Unit; T1DM: Type 1 Diabetes Mellitus; IU: International Units

Introduction

Diabetes in children constitutes a growing diagnosis over the past year that leads to high social and economic costs [1]. Although the prevalence in our setting remains unknown, it is estimated that approximately 0.26% of individuals under 20 years have diabetes type 1 or 2 [2]. Diabetic ketoacidosis (DKA), defined as a blood glucose of > 200 mg/dl, ketone presence in the blood, blood pH of < 7.3, and serum bicarbonate levels of < 15 mEq/L, is an acute diabetes complication and is potentially life-threatening, resulting from absolute or relative deficiency of circulating insulin and the combined effects of the counter regulatory hormones [3,4].

Although progress in the handling of DKA has lowered mortality to nearly 2% [5], even today, 90 years after the discovery of insulin [6], various studies have demonstrated that the incidence of DKA has not varied over time [7,8] and that it continues to be the main cause of hospitalization, morbidity, and mortality in children with type 1 diabetes [3,9]. It has a 7% prevalence in this population [10] and is responsible for 8 – 28% of hospitalizations among type 1 diabetes (T1DM) patients [11] and for approximately 50% of deaths resulting from the disease in diabetic children .

Thus, it is important to prevent such DKA episodes in order to reduce morbidity and mortality associated to acute metabolic decompensations in these children [12,13].

DKA may appear in two contexts in patients with type 1 diabetes: upon disease diagnosis [14,15], or development in children with previous diagnosis of diabetes due to poor metabolic control. DKA as a first presentation of diabetes is hard to prevent, except through programs that inform the community of diabetes symptoms [16] and when the at-risk population is identified [17]. The prevalence of ketoacidosis in children previously known to be diabetic is much lower than de development of DKA as debut of the disease, studies have shown that it is approximately 8 out of 100 patients per year [18] and DKA is closely related to diabetes control. In these children, it is necessary to have adequate instruction regarding outpatient treatment, promote treatment adherence, and ensure follow-up through specific diabetes programs for early identification and treatment of metabolic derangement that could prevent the onset of DKA [19].

By the year 2015, the Colombian population amounts to 47,661,787 million and the coverage of the health system is close to 91% where 47% of the population contribute financially to the system and the rest are population subsidized by the state, the prevalence of T1DM in the country is estimated at 3.8 per 100,000 inhabitants. There is evidence that belonging to a family that has little social support, low educational level, low income, lacking health care access, or that is not involved in patient care, especially when they reach adolescence delays in medical care and increase the probability of developing ketoacidosis. This study seeks to describe the clinical and epidemiological profile of patients with diabetic ketoacidosis, which is nonexistent in Colombia, in order to identify the reasons for ketoacidosis development and the socio-demographic factors common to ketoacidosis patients as early identification and prevention could help prevent DKA episodes and thus limit the associated morbidity.

The aim of this study was to determine the clinical and epidemiological profile of children with known T1DM diagnosis that were admitted to intensive care units with diabetic ketoacidosis.

Methods

Type of Study

Observational, case series study.

Study population

All children and teenagers with type 1 diabetes mellitus with ketoacidosis according to International Society for Pediatric and Adolescent Diabetes (ISPAD) criteria [20], admitted to pediatric intensive care units participating in the study were included consecutively.

Sampling: All of the population that met the study eligibility criteria for the stipulated time was included; the unit of analysis used was each diabetic ketoacidosis event developed. Patients were recruited over a 24-month period in which all of the ketoacidosis episodes admitted to pediatric intensive care units were evaluated. Patients with newly diagnosed type 1 diabetes and DKA occurring as the first presentation of the disease where exclude.

Data collection

The pediatric intensive care units in the main cities of Colombia were contacted by phone or e-mail. The project was presented to the ethics committee at each institution, and following approval the participating units filled out an electronic form for each patient that met the inclusion criteria. Since some patients were admitted several times, each ketoacidosis event was included separately. The electronic form was available on this page: http://www.e-encuesta.com/answer.do?testid=cRctXSlVSLk. Seven pediatric intensive care units participated in the study.

Variables studied: Age at time of diabetes diagnosis, age at time of ketoacidosis, gender, weight at hospital admission, weight when ketoacidosis was resolved, height, insulin schedule, insulin dose, glycosylated hemoglobin (HbA1c) levels, ketoacidosis severity, level of education of caregivers, socioeconomic level, health care coverage, duration of symptoms prior to consultation, supplies (glucose meter, glucose test strips, ketone strips, insulin, injectors), participation in a diabetes care group, number of consultations prior to hospitalization, amongst others.

Statistical analysis

Qualitative variables were described using absolute and relative frequencies. One-way ANOVA or Kruskal-Wallis tests were used depending on normality and homoscedasticity compliance in order to compare quantitative variables (weight loss evaluated as the difference in weight between weight at time of admission and weight when acidosis was resolved, glycosylated hemoglobin, insulin dose used) according to the degree of decompensation using the D`Agostino & Pearson, Brown-Forsythe, and Bartlett tests to verify these assumptions. Statistical analysis was conducted using Graphpad Prism, version 6.

Results

The study included a total of 52 diabetic ketoacidosis events in 47 children with T1DM previously diagnosed from May 2014 through May 2016. Patients were ages 3 to 17, 30 of whom were girls. There was poor diabetes control in 86.5% of patients as evidenced by HbA1c between 9.3 and 14% with a median of 12%. They used intermediate to high insulin doses of 0.74 – 1.2 units/Kg with a median of 0.91 units/Kg. Three patients presented more than one ketoacidosis event, one of whom presented two events and two presented three events. None of the patients died during a DKA episode. Table 1 describes the clinical and demographic characteristics of patients.

Characteristic

Median (Interquartile Range)

Age (Years)

13 (10 -14)

Gender M: F

17 : 30

Diabetes Duration (Years)

4.5 (2.3 - 6)

Outpatient Insulin Dose
(IU/Kg of Body Weight)

0.91 (0.74 -1.2)

HbA1c value at time of decompensation (%)*

12 (3.1)

Weight loss during decompensation (%)*

4.1 (4.5)

 

n (%)

Health Care Coverage

51 (98.1)

Contributory

39 (75)

Subsidized

12 (23.1)

Table 1: Clinical and demographic characteristics of patients.

 *Data presented as mean ± standard deviation.

Upon evaluating the socio-demographic characteristics of patients, we found that during hospitalization 23.1% of children had subsidized health care coverage, 75% had contributory health care, and 1.9% (1 child) was uninsured. One hundred percent of patients belonged to middle and low socioeconomic classes (51.9% lower class and 48.1% middle class). Regarding the educational level of caregivers in charge of administering patient treatment (ensure adherence to dietary recommendations, carbohydrate count, insulin administration), 46.2% of caregivers had an elementary school education, 26.9% had been through secondary school, 13.5% had technical training, and 5.7% had a university education.

These were the causes of ketoacidosis identified: Non-adherence to treatment, 44.8% of episodes; intercurrent infection, 39.7% of episodes; trauma or surgical procedure, 3.4% of episodes. Also, 26.9% of patients did not have the necessary supplies for adequate glycemic control at the time of decompensations. Amongst these supplies, in 23.1% of episodes, patients did not have glucose test strips, in 11.5%, patients did not have a glucose meter or insulin injectors, in 12.1%, they did not have insulin (ultra-rapid or basal), A single child may have been lacking insulin, insulin injections supplies and glucose strips at the same time. 13.8% cases had no cause attribution (Table 2).

Supplies

n (%)

Lacking Glycemic Control Supplies

14 (26.9)

Lacking Glucose Meter

6 (11.5)

Lacking Glucose Test Strips

12 (23.07)

Lacking Insulin Injectors

2 (3.8)

Lacking Insulin

3 (5.7)

Lacking Insulin Injectors And Insulin

4 (7.7)

Lacking Ketone Strips for Ketoacidosis Diagnosis

49 (94.2)

Table 2: Lack of supplies for glycemic control.

In 22 episodes, patients consulted on the first day of DKA symptoms; in 27 episodes, patients consulted within the first week; and in 3 cases, patients had experienced symptoms for over 2 weeks before consulting. Regarding the number of consultations prior to hospitalization, in 27 episodes, patients were hospitalized during the first visit, in 24 episodes, patients had had one doctor visit before being hospitalized, and in one case, the patient had visited the doctor twice prior to hospitalization. In 67% of events, children were not being followed-up by a diabetes care group.

Eighteen patients were diagnosed with mild DKA (blood pH between 7.2 and 7.3 or bicarbonate between 10 and 15 mEq/L), 16 presented moderate DKA (pH between 7.1 and 7.2 or bicarbonate between 5 and 10 mEq/L), and 18 patients had severe DKA (pH < 7.1 or bicarbonate < 5 mEq/L). Table 3 describes the clinical and demographic characteristics of patients according to degree of severity of DKA. No significant differences were found between diabetes duration, outpatient insulin dose, the degree of outpatient glycemic control evaluated with HbA1c, or in patient weight loss caused by dehydration.

Characteristic

Mild Ketoacidosis
n= 18

Moderate Ketoacidosis
n= 16

Severe Ketoacidosis
n= 18

p

Age (Years)*

13 (9.3- 13)

11 (8 -14)

13 (12 -14)

0.36

Diabetes Duration (Years)*

4 (2.8 -5)

5 (2.5 - 6.8)

4.5 (2 - 8.3)

0.44

Outpatient Insulin Dose (IU/Kg of Body Weight)*

1 (0.7 -1.2)

0.78 (0.7 - 0.97)

1 (0.75 - 1.3)

0.08

HbA1c Value at time of Decompensation (%)

12 (±3.5)

11 (±2.9)

12 (±2.9)

0.47

Weight Loss During decompensation (%)

3.3 (±3.4)

3.9 (±4.6)

5.9 (±5.3)

0.48

Length of Stay in PICU During Decompensation (Days)*

1.5 (1 - 3.3)

3 (1.3 -3.8)

2 (1.8 - 3.3)

0.48

Table 3: Clinical and demographic characteristics of patients based on degree of severity of diabetic ketoacidosis*.

*Data presented as median + interquartile range. Kruskal-Wallis test
Data presented as mean ± standard deviation. ANOVA test

Discussion

Diabetic ketoacidosis is a potentially life-threatening complication and is strongly associated to the quality of patient care. Glycemic control in type 1 diabetes patients requires a strict clinical follow-up and adequate treatment to prevent short-term complications and reduce the risk of long-term complications, which could result in a substantial increase in the financial impact of the disease.

This is an early if not the initial report utilizing a multi center methodology and electronic reporting to collect systematically data about children with T1DM and DKA. In children with pre-existing type 1 diabetes, 75% of DKA episodes occur due to failure to administer insulin or due to errors in treatment administration; the remaining cases are the result of inadequate insulin therapy during intercurrent stress processes, such as infections [21-25]. The primary causes for recurrent DKA in Colombia reflects similar causes in all of our hospital across the Americas and Europe [21-25], non-adherence to treatment and intercurrent infections were the main causes for ketoacidosis development in patients.

Despite using a multidisciplinary treatment and follow-up by a diabetes care group, in 33% of patients, the HbA1c values of the study population showed an HbA1c mean of 12 (±3.1), revealing that the patients in the study with diabetic ketoacidosis did not have adequate metabolic control, which is in accordance with other studies suggesting poor glycemic control as the factor associated to ketoacidosis development [25-27].

Most patients hospitalized due to diabetes decompensations events with ketoacidosis were adolescents with poor glycemic control (median age of 13 years, interquartile range 10-14), which agrees with previous studies showing a decrease in glycemic control and increase in insulin resistance evidenced by an increase in outpatient insulin doses administered to the patients [28] and a decrease in diabetes treatment adherence when patients reach adolescence [26,29].

Studies in adults have shown how decompensations with DKA in T1DM patients is associated with shorter diabetes duration [27]; this probably occurs because in the first years of the disease, patients have not yet completely understood their condition or assimilated all the information they receive from their physician; however, unlike these studies, this study observed decompensations episodes both in patients who had recently been diagnosed with diabetes as well as in those who had had the disease for up to 12 years. On the other hand, patient participation in multidisciplinary care groups has helped decrease ketoacidosis incidence as multidisciplinary consultations make it possible to gain a better understanding and self-treatment for diabetes [21,30].

In this study, 39 of the 47 children (82.1%) had been diagnosed over 2 years prior to presenting decompensations. This, coupled with the fact that one-third of patients were being followed-up by a multidisciplinary care group in charge of patient care, leads us to the question: What other factors could cause patients to have a poor glycemic control despite having had the disease for several years?

Although we did not have a control group to identify factors associated to decompensations, we explored the presence of some factors reported in the literature associated to decompensations and poor glycemic control, such as the lack of insulin availability and the use of alternative therapies including herbs, prayers, or rituals.

There is also growing evidence of psychosocial factors that may be predictors of DKA episodes [24,31]. These factors lead to delays in medical care and increase the probability of developing ketoacidosis [32-34]. By the year 2015, the Colombian population amounts to 47,661,787 million and the coverage of the health system is close to 91% where 47% of the population contribute financially to the system [35], the prevalence of T1DM in the country is estimated at 3.8 per 100,000 inhabitants [36]. This study had a multicentric focus as it included seven participating pediatric intensive care units. All seven units cared for patients both under contributory and subsidized health care, however, only 1.9% of patients with DKA were uninsured; all patients belonged to middle and low socioeconomic classes. It is surprising that, despite having health care coverage, 27.4% of the children did not have the necessary supplies for glycemic control at the time of the decompensations episode; in addition, 94.2% of them did not have access to ketone measurement, which on sick days can help make an early DKA diagnosis leading to an opportune medical consultation.

Govan L et al. [34], evidenced that low socioeconomic class and being uninsured by the health care system lead to a higher probability of decompensations with DKA [34]; the studies carried out in the pediatric population during disease presentation

manifested as diabetic ketoacidosis have demonstrated that low income and being uninsured by the health care system are associated to DKA in onset of diabetes. This makes DKA an income inequality marker [32,33].

We researched whether there were differences amongst patients based on degree of severity of DKA; we found no differences in the HbA1c value associated to the level of decompensations, which is in accordance with previous studies in children and adults [25]. Likewise, although international guidelines suggest that ketoacidosis severity classified with venous pH is correlated to the degree of dehydration [3], we did not find this correlation in our patients, which agrees with recent studies in children [37,38]. The separation into the mild, moderate and severe DKA have a little meaning as in others studies, probably because much of this depends on the rapidity of development of dehydration which in the final hours before presentation is success of the child to maintenance of their incomes and outcomes.

We have 52 events of ketoacidosis in our study time we consider this is a relevant number since it does not include patients with ketoacidosis who are debuting in diabetes. We are convinced that in an adequate health system, children with diabetes should have all the tools to control their disease and not develop ketoacidosis. Therefore these 52 events are relevant to identify these factors and try to impact so that they do not happen again. In this setting, there is no study that explores the epidemiological characteristics of decompensations by diabetic ketoacidosis and we expect this information to help reduce incidence. With the results obtained, we believe that children with T1DM diagnosis and their caregivers must quickly learn to identify the signs and symptoms of diabetes decompensations in order to seek opportune assistance and prevent DKA episodes.

The main weakness of this study is not having a comparison group of diabetic children that do not develop ketoacidosis over the course of the disease. This does not allow us to evaluate whether the common factors identified in patients presenting decompensations with ketoacidosis correspond to risk factors for this complication, which would make it possible to take more accurate measures focused on preventing these factors, thus reducing DKA development.

Conclusion

Information for patients must include instructions on how to adjust insulin dose on sick days and the importance of monitoring ketones during these periods. Also, health personnel must be insistent on the importance of treatment adherence and in trying to recognize difficulties patients may have regarding opportune access to health services and the availability of supplies for glycemic control, which may possibly help decrease diabetic ketoacidosis episodes in children.

Acknowledgements

The authors would like to thank Libia Maria Rodriguez, bacteriologist and epidemiologist, for her critical analysis of the manuscript.

Declaration of Personal Interests

The authors declare no potential conflicts of interest with respect to the research, authorship and publication of this article.

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