Citation

Francisco K, Alex A, Pedro R (2024) DKA at Diagnosis of Type 1 Diabetes Mellitus and Risk Factors in Children Aged 6 Months to 19 Years at David Bernardino National Pediatric Hospital- Angola. Int Arch Endocrinol Clin Res 10:037. doi.org/10.23937/2572-407X.1510037

Cross Sectional Study | OPEN ACCESS DOI: 10.23937/2572-407X.1510037

DKA at Diagnosis of Type 1 Diabetes Mellitus and Risk Factors in Children Aged 6 Months to 19 Years at David Bernardino National Pediatric Hospital-Angola

Ketha Francisco1*, Adelino Alex2 and Rosalon Pedro3

1National Directorate of Public Health, Ministry of Health, Angola

2Paediatric Hospital of Lubango, Angola

3Sagrada Esperança Clinic-Luanda, Angola

Abstract

Introduction: Diabetes mellitus is a disorder of metabolic homeostasis controlled by the beta cell hormone; insulin, leading to abnormal metabolism of carbohydrates, proteins and fats. Type 1 is caused by an absolute deficiency of insulin due to the progressive destruction of the beta cells of the pancreas. While the prevalence is between 15-30 million patients worldwide, the incidence of T1DM varies sharply across countries and age groups; with the highest incidence observed in children between 10 and 14-years-old.

The diagnosis of Diabetes is made in a symptomatic individual (polydipsia, polyuria, polyphagia, weight loss and so on), presenting a fasting blood glucose concentration above 126 mg/dl, a random blood glucose above 200 mg/dl or Glycosylated haemoglobin (Hb A1C) above 6.5%.

An abnormal result from an Oral Glucose Tolerance Test (OGTT) makes as well the diagnosis of diabetes, but, abnormal fasting glucose (more than 126 m/dl) or random blood glucose above 200 mg/dl in an asymptomatic individual should be repeated on a separate day.

The diagnosis of DKA should be considered in any patient, the association of Hyperglycaemia (glycaemia above 200 mg/dl), arterial pH lower than 7.3 or bicarbonate level less than 15 mmol/l and ketonemia (ketonuria). DKA as the first clinical presentation type 1 diabetes is persistently is frequent in Africa.

Objective: To describe the clinical presentation of T1DM and factores associated with DKA in children and adolescents aged 6 months to 19 years, followed up in the Endocrinology clinic at Paediatric Hospital David Bernardino (HPDB).

Methodology: A cross-sectional, hospital-based study was carried out in children and adolescents followed at HPDB.

Results: Of the 80 patients studied, 43 (53.5%) were female and 37 (46.5%) were male. The median age of the studied participants was 11.9 ± 4.1 years (minimum of 7 months and a maximum of 18 years); while the median age at diagnosis was 9.3 ± 4.1 years (minimum of 6 months and maximum of 16 years). The classic signs of presentation of diabetes were: Polyuria in 97.5%, polydipsia in 87.5% and loss of weight with 82.5%. Of the subject's studies, 52.5% had DKA at the time of T1DM1 diagnosis. After successful iterations at the multivariable modelling, the significant predictors for DKA at diagnosis of T1DM were: Age at diagnosis (p = 0.035), absence of family member with diabetes, especially aunt with diabetes (p = 0.035), none family member on insulin therapy (p = 0.031), and caregiver's level of education (p = 0.058).

Conclusion: Very high number of patient present with DKA at the time of diagnosis. Significant predictors for DKA at diagnosis of TIDM in children seen in the endocrinology clinic at HPDB were: Age at diagnosis, absence of family member with diabetes, especially aunt with diabetes, none family member on insulin therapy, and caregiver's level of education.

Introduction

Diabetes Mellitus is a disorder of the metabolic homeostasis controlled by the beta cells hormone, Insulin, leading to the abnormal metabolism of carbohydrate, proteins and fat.

Type 1 Diabetes Mellitus (T1DM) is caused by an absolute insulin deficiency due to progressive destruction of the beta cells of the pancreas. It is now recognized that type 1 diabetes is not a single autoimmune disease but a complex interplay between genomes, environment, metabolism and the immune system that can be different from one person to another [1].

The prevalence of TIDM has be shown to be between 15-30 million patient in the world with an incidence varying by country, and even by region within the same country [2].

This incidence has been estimated to be between 37-65/100.000 children in Sweden while in Venezuela and part of the republic of China, Hajutsalov, et al. estimated it at less than 2/100.000 children [3].

In Africa, the incidence was estimated to be between 4.4/100.000 children in Algeria to 20/100.000 children in Morocco [4]. At our best knowledge there is no study conducted in Angolan children with T1DM.

Most cases of T1DM will present the classical triad of polyuria, polydipsia and polyphagia, as shown by Ibekwe in a study conducted in Nigeria [5]. But almost one third of patient will present in diabetic ketoacidosis and unfortunately this number is higher in country with low prevalence of type 1 diabetic and it still showing an increasing trend in Africa [6].

The frequency of Diabetes Ketoacidosis ( DKA) at diagnosis of type 1 diabetes varies from country to country and have been estimated by Usher, et al. to be almost 80% in 2012 [7].

DKA is associated with increased risk of mortality in children who have type 1 diabetes. It is a state of nearly lack of insulin and should be identified and well treated early to reduce the risk of mortality and sequalae.

The object of our study was to describe the clinical presentation of T1DM and factores associated with DKA in children and adolescents aged 6 months and above, followed up at the Paediatric Hospital David Bernardino (HPDB).

Materials and Methods

Study site

This study was conducted at the Endocrine clinic of David Bernardino Hospital, which is a level three public hospital located in the capital city of Angola, Luanda. David Bernardino Paediatric is a teaching referral hospital, with an Endocrine clinic functioning every Friday from 8 AM to 3 PM and attend on average 10 to 20 diabetic children per week.

Study design

This was a hospital based cross-sectional study. Sample size was calculated using the Kish Leslie formula (1965) with an estimated prevalence of DKA among TIDM children of 9.5% as per Majid, et al. [8].

Study population

This consisted of children aged 6 months of age and above, diagnosed with TIDM and on follow up at David Bernardino Paediatric hospital-Paediatric Endocrine Clinic.

The recruited subjects had a questionnaire administered to patients/ caretakers until a sample size of 80 subjects was attained.

Data collection

Recruitment of participants was conducted at the Paediatric Endocrine clinic on every Friday from 8 AM to 3 PM during the period of study. All subjects who meet the inclusion criteria and whose parent gave an informed consent to participate in the current study were selected on a consecutive basis to the number of 80 children.

Selected subjects received a predesigned standard structured questionnaire which included information on the socio-demographic characteristics, clinical sign and symptoms as well as factors associated with DKA at diagnosis. This was followed by a clinical examination and a rigorous review of the child clinical file for additional information.

Data management and analysis

Data entry template was created using SPSS for data entry version 3.0. Data was checked for completeness and corrected at source. Data entry was done in duplicate for validation (double entry) and cross-checked for entry error and range checks. The data was cleaned and validated before analysis. Data Analysis was done using SPSS version 23. To ensure confidentiality all personal identifiers were left out of the data set. The characteristics of children were described using means and medians for continuous variables.

Proportions was compared by Chi-square. Where violations of a chi-square test were observed e.g. the expected numbers of observations per cell were less than 5, the fisher’s exact test was used in estimating the P value.

Continuous variables were tested for normality by Shapiro-Wilk test. Students test and Mann-Whitney-U test were used for normally distributed and skewed variables, respectively. Finally, a multivariable analysis to identify predictor factors associated with DKA at diagnosis was conducted.

P-Value of ≤ 0.05 was considered significant.

Ethical considerations

Ethical clearance was sought and obtained from David Bernardino Paediatric Hospital, research department and from its ethical committee. A written consent was obtained from the caretakers/guardians who were willing to participate in the study. An assent was also sought from all children aged 8 and above.

Results

During the study period, 80 patients were interviewed.

Of the 80 patients studied, 43(53.5%) were female, age more than of years 53(66.25) and had again more than 10 years at the time of T1DM diagnosis 38(47.5%). Regarding origin, the majority of the study participants, were coming from Municipality of Viana 24(30%), followed by the municipalities of Luanda (25.0%), Talatona (11.25%), Cazenga (10.0%) (Table 1).

Table 1: Distribution of patients according to socio demographic variables (n = 80). View Table 1

Regarding the caregivers, the vast majority of the subjects were living with both the father and the mother 57(71.25%), while the majority of caregivers were living in a de facto union 31 (38.75%), had at least completed the second cycle 25(31.25%) and 4 were civil servants 31(25%) (Table 2).

Table 2: Distribution of sociodemographic factors of caregivers. View Table 2

The classic signs of diabetes were the most frequent, with polyuria in 97.5%, polydipsia in 87.5% and weight loss in 82.5% of patients.

While 42(52%) of the participants had DKA at the time of diagnosis of T1DM (Table 3 and Chart 1).

Chart 1: Distribution of patients who had DKA or not at the time of diagnosis.
Source: Table 3 View Chart 1

Table 3: Clinical presentation in patients with T1DM. View Table 3

Among the sociodemographic factors studied, only age at diagnosis (p = 0.035) was significantly associated with DKA, as subjects aged more than 10 years of age were more likely to present with DKA at the time of diagnosis. It was noted as well that the children of a caregiver who had only the first cycle of education completed had an increased risk (p = 0.068) of having DKA at the time of diagnosis compared to the children of caregivers with a completed second cycle (Table 4).

Table 4: Bivariate logistic regression of patient characteristics associated with DKA. View Table 4

None of the sociodemographic factors of the caregivers were associated with DKA as the first manifestation of T1DM, but children whose caregivers had only completed the first cycle of education had higher risk of presenting DKA at the diagnosis of T1DM as compare to children whose parent has at least the second cycle of school concluded at the time of the study (p = 0.068) (Table 5).

Table 5: Bivariate logistic regression of caregiver's characteristics associated with DKA. View Table 5

After successful iterations in multivariate modelling, the significant predictors for DKA at diagnosis in a patient seen at the endocrinology follow-up consultation were the absence of a family member with diabetes, specifically the absence of a diabetic aunt (p = 0.035), and particularly no family member on insulin therapy (p = 0.031).

There was also a statistical association between caregiver schooling and DKA at diagnosis, where children of caregivers with first cycle have a higher risk of presenting DKA at diagnosis when compared to children of caregivers with second cycle (p = 0.058) (Table 6).

Table 6: Multivariate analysis of sociodemographic factors associated with DKA. View Table 6

Discussion

T1DM is currently the most prevalent paediatric endocrinopathy and one of the most common chronic conditions in children and adolescent.

This study was carried out with the main objective of describing the clinical presentation of T1DM and factors associated with DKA at presentation in children aged 6 months to 19 years followed on HPDB.

The results of the present study show a female predominance (53.75%) in children on follow up at HPDB; similar results were reported in a study conducted in South-eastern Nigeria [5] and a cross-sectional study in Ghana by Emmanuel, et al. who finded a female prevalence of 71% [9]. But these findings were contrary to the results of other studies conducted in Saudi Arabia, which showed a male predominance of 52% [10], While Majaliwa, et al. have found an equal gender distribution among children in Africa [4].

Recently we started to understand the genetic aspect of T1D, although there is still a large gap to be clarified. It is certainly an autoimmune disease, but it has never demonstrated a very strong female bias, explaining the different finding in the term of sexual dominance in different settings and different cohorts. The difference found in this study is not big enough and may be explained by our relatively small sample size.

According to the age of the children participating in this study, most patients (66.25%) were older than 10 years and 30% were between 3 and 10-years-old. This scenario was almost the same when it comes to age at diagnosis., as (47.5%) of the participants were over 10 years of age at the time of T1DM diagnosis (47.5%), while 42.5% were between 3 and 10-years-old and only 10% of the children recruited in this study were under 3 years of age; similar findings were reported in two studies from Saudi Arabia that reported a first Increase incidence of the diagnosis of T1DM between 6-7 years and a second Increase incidence above 10 years of age, occurring mainly in girls [11,12]. This can be explained by the fact that, the clinical expression of T1DM is strongly influenced by other counter-regulatory hormones, such as growth hormone and sex hormones. This high number of patients presenting clinical expression of T1DM around puberty confirms the well-known theory that the incidence and clinical manifestation of T1DM are influenced by counter regulator hormones.

In terms of clinical presentation at the time of diagnosis, most of the patients in the present study had the classic triad of diabetes: Polyuria, polydipsia, and/or weight loss. This was demonstrated long ago in a study conducted in Sudan by Elamin, et al. [6] and not very long ago by Al - Yaarubi, et al. in Oman - Saudi Arabia in which the main symptoms of diabetes in children and adolescents were shown to be polyuria, polydipsia, and weight loss [10].

As stated by Nicholas Thomas, T1DM has a traditional presentation in children and commonly presents with as a triad of polyuria, polydipsia, and weight; what is different with the presentation in adults who have different presentations [13].

The current study finds that 52.5% of the patients on follow-up in the endocrinology clinic of HPDB for T1DM had DKA at the time of diagnosis. This finding corroborates a study conducted in similar setting by Honesta K, where almost 40% of patients had DKA at the time of diagnosis [14]. Other studies from other developing countries have reported even higher rates of DKA at the time of T1DM diagnosis: South Africa (70%), Congo (90%), Benin (77%), and Ethiopia (80%) [15-18].

On the contrary, developed countries observed a low prevalence of DKA at the time of diagnosis of TDM1, such as Sweden (14%), and England (39.8%) [19,20].

This may be due to the high level of awareness among parents and primary care physicians, as well as good and accessible health services that culminate in an early diagnosis with reduced risk of DKA in high-income countries.

However, some authors have raised the hypothesis of these variations in the worldwide incidence of DKA at presentation be explained by genetic and/or environmental factors.

This hospital-based cross-sectional analytical study provides a comprehensive synthesis of factors associated with diabetic ketoacidosis at diagnosis in children and adolescents on follow up for T1DM at David Bernardino Paediatric Hospital (HPDB) in Luanda-Angola.

In a bivariate analysis, it was found that age greater than 10 years at the time of diagnosis in children with T1DM was associated with higher risk of DKA. This contradicts the finding of a meta-analysis consisting of 32 studies, which found that children under 2 years of age were 3 times more likely to have DKA than children over 2 years of age [21]. But similar findings were described in a study by Hye, et al. in Korea [22] who found an increased likelihood of DKA at the time of diagnosis in children over 12 years of age and quite comparable to the finding of a study conducted at a tertiary center in Pennsylvania in 2020, where age less than 3 years and more than 9 years at diagnosis had a significant association with DKA at diagnosis [23].

This can be explained by the fact that the clinical expression and severity of T1DM is strongly influenced by other counter-regulatory hormones, such as growth hormone and sex hormones, which show a very particular, progressive increase starting between 8 and 10 years, depending on gender.

After successful iterations at the multivariable modelling, the significant predictors for DKA at diagnosis of T1DM were: Age at diagnosis (p = 0.035), absence of family member with diabetes, especially aunt with diabetes (p = 0.035), none family member on insulin therapy (p = 0.031), in multivariate analysis, the significant predictors for DKA at the time of diagnosis in a patient treated at the HPDB.

Similar findings were observed in a systematic review that showed that having a family history of Diabetes mellitus (DM) was associated with decreased risk of DKA at presentation [21]. The possible explanation for this relative protection of a family history of T1DM is most likely due to increased awareness and better recognition of signs and symptoms of hyperglycaemia among families with diabetes experience. It is also possible that a family history of T1DM, especially when using insulin therapy, alerts physicians to an increased possibility of diabetes mellitus in a child with some classic signs and symptoms of diabetes.

Although no significant differences were identified between caregivers' schooling and DKA at the time of diagnosis, children of caregivers with a primary cycle have a higher risk of having DKA at the time of diagnosis when compared to children of caregivers with a second cycle (p = 0.058). This finding is not uncommon, as a number of studies also show that children from families in which the parents had a higher education level have a reduced risk of DKA at the time of diagnosis [21,24]. The higher literacy rate is obviously associated with health awareness, and therefore you are likely to seek services at the health facility before severe symptoms.

Conclusion

The majority of our study subjects presented with the classical signs of diabetes at the diagnosis of T1DM: Polyuria in 97.5%, polydipsia in 87.5%, and weight loss in 82.5% of patients.

More than half (52.5%) of the study subjects presented with DKA at the time of T1DM diagnosis.

After successful iterations at the multivariable modelling, the significant predictors for DKA at diagnosis of T1DM were: Age at diagnosis (p = 0.035), absence of family member with diabetes, especially aunt with diabetes (p = 0.035), none family member on insulin therapy (p = 0.031), and caregiver's level of education (p = 0.058).

Recommendations

With a prevalence of 52.5% in diabetic children at diagnosis, DKA remains a serious and common problem in diabetic children seen at HPDB and deserves a well-coordinated multisectoral approach in the medical community and the general population. There is a need to increase public awareness campaigns and training about the early symptoms of T1DM to encourage early diagnosis. Special attention should be given to adolescents presenting classical signs of diabetes and to the family history of insulin-dependent diabetes.

Improving the general population's level of education will contribute significantly not only to reducing severe events in diabetic children but also to reducing avoidable child deaths.

We then, recommend conducting a large-scale multicentre analytical study for a better understanding of the main predictors at the national level among Angolan population.

References

  1. DiMeglio LA, Evans-Molina C, Oram RA (2018) Type 1 diabetes. Lancet (London, England) 391: 2449-2462.
  2. Barker JM, Goehrig SH, Barriga K, Hoffman M, Slover R, et al. (2004) Clinical characteristic of children diagnosed with type 1diabetes though intensive screening and follow up. Diabetes Care (internal) 27: 1399-1404.
  3. Hajutsalov V, Sund R, Knip M Goup PH (2013) Incidence of type 1 diabetes in Finland. JAMA 310: 427-428.
  4. Majaliwa ES, Elusiyan BEJ, Adesiyun OO, Laigong P, Adeniran AK, et al. (2008) Type 1 diabetes mellitus in the African population: Epidemiology and management challenges. Acta Biomed 79: 255-259.
  5. Ibekwe M, Ibekwe R (2011) Pattern of type 1 diabetes mellitus in abakaliki, southeastern, nigeria. Pediatric Oncall Journal. Pediatr Call Child Heal Care 8.
  6. Elamin A, Altahir H, Ismail B, Tuvemo T (1992) Clinical pattern of childhood type 1 (insulin-dependent) diabetes mellitus in the Sudan. Diabetologia 35: 645-648.
  7. Usher JA, Thompson M, Ercole A, Walter FM (2012) Variation between countries in the frequency of diabetic keto acidosis at first presentation of type 1 diabetes in children: A systematic review. Diabetologia 55: 2078-2094.
  8. Mobasseri M, Shirmohammadi M, Amiri T, Vahed N, Hosseini Fard H (2020) Prevalence and incidence of type 1 diabetes in the world: A systematic review and meta-analysis. Health Promot Perspect 10: 98-115.
  9. Ameyaw E, Asafo-Agyei SB, Thavapalan S, Middlehurst AC, Ogle GD (2017) Clinical profile of diabetes at diagnosis among children and adolescents at an endocrine clinic in Ghana. World J Diabetes 8: 429-435.
  10. Al-Yaarubi S, Ullah I, Sharef SW, Al Shidhani A, Al Hanai S, et al. (2014) Demographic and clinical characteristics of type 1 diabetes mellitus in omani children - single center experience. Oman Med J 29: 119-122.
  11. Abdullah MA (2005) Epidemiology of type I diabetes mellitus among Arab children. Saudi Med J 26: 911-917.
  12. Salman H, Abanamy A, Ghassan B, Khalil M (1991) Insulin-dependent diabetes mellitus in children: Familial and clinical patterns in Riyadh. Ann Saudi Med 11: 302-306.
  13. Thomas NJ, Jones SE, Weedon MN, Shields BM, Oram RA, et al. (2018) Frequency and phenotype of type 1 diabetes in the first six decades of life: A cross-sectional, genetically stratified survival analysis from UK Biobank. Lancet Diabetes Endocrinol 6: 122-129.
  14. Honesta K, Edna M, Benjamin K, Mungai L (2020) Clinical presentation and factors associated with diabetes ketoacidosis in children and adolescent at Muhimbili Ntional Hospitsl, Tanzania: A cross sectional study. Int J Diabetes Clin Res 7: 126.
  15. Reddy Y, Ganie Y, Pillay K (2011) Characteristics of children presenting with newly diagnosed type 1 diabetes. S Afr J Child Heal 7: 46-48.
  16. Reddy Y, Ganie Y, Pillay K (2013) Characteristics of children presenting with newly diagnosed type 1 diabetes. S Afr J CH 7: 46-47.
  17. Otieno CF, Kayima JK, Omonge EO, Oyoo GO (2005) Diabetic ketoacidosis: Risk factors, mechanisms and management strategies in sub-Saharan Africa: A review. East Afr Med J: S197-S203.
  18. Onyiriuka AN, Ifebi E (2013) Ketoacidosis at diagnosis of type 1 diabetes in children and adolescents: Frequency and clinical characteristics. J Diabetes Metab Disord 12: 47.
  19. Hanas R, Lindgren F, Lindblad B (2007) Diabetic ketoacidosis and cerebral oedema in Sweden--a 2-year paediatric population study. Diabet Med 24: 1080-1085.
  20. Usher-Smith JA, Thompson MJ, Zhu H, Sharp SJ, Walter FM (2015) The pathway to diagnosis of type 1 diabetes in children: A questionnaire study. BMJ Open5: e006470.
  21. Usher-smith JA, Thompson MJ, Sharp SJ (2018) Factors associated with the presence of diabetic ketoacidosis at diagnosis of diabetes i ... Page 1 of 24 Factors associated with the presence of diabetic ketoacidosis at diagnosis of diabetes in children and young adults: A systematic review. Factors Ass 2018: 1-24.
  22. Lee HJ, Yu HW, Jung HW, Lee YA, Kim JH, et al. (2017) Factors asssociated with the presence of severity of diabetic ketoacidosis at disgnosis of type 1 diabetes in Korean children and adolescent. J Korean Med Sci 32: 303-309.
  23. Bogale KT, Hale DE, Schaefer E, Bangalore Krishna K (2020) Prevalence and factors associated with diabetic ketoacidosis at diagnosis of type 1 diabetes: A report from a tertiary medical center in Central Pennsylvania. Endocrinol Diabetes Metab 4: e00186.
  24. Komulainen J, Kulmala P, Savola K, Lounamaa R, Ilonen J, et al. (1999) Clinical, autoimmune, and genetic characteristics of very young children with type 1 diabetes. Childhood Diabetes in Finland (DiMe) Study Group. Diabetes Care 22: 1950-1955.

Citation

Francisco K, Alex A, Pedro R (2024) DKA at Diagnosis of Type 1 Diabetes Mellitus and Risk Factors in Children Aged 6 Months to 19 Years at David Bernardino National Pediatric Hospital- Angola. Int Arch Endocrinol Clin Res 10:037. doi.org/10.23937/2572-407X.1510037