Study design
This was an analytical cross-sectional study among a group of children affected by CHDs (“cases”), compared with children without CHDs (“controls”). The study was conducted in two phases: from January to August 2011 and from March to September 2014. For the cases, ethical approval was obtained from the Ahmed Gasim Hospital, from the Sudanese Federal Ministry of Health, the Research Ethics Committee at the University of Science and Technology and from the Regional Committee for Medical Research Ethics, Western Norway (No. 2265). For the controls, ethical approval was obtained from the State Ministry of Education (Khartoum) and the State Ministry of Primary and Pre-school Education in the three Khartoum districts. Ethical consent forms were also obtained from the local offices of the Ministry of Education in each of the selected localities. These consent forms were taken to each of the selected schools. Confidentiality was ensured for both cases and controls. Consent forms were completed and signed by the guardians of the study participants after obtaining verbal agreement.
Study population
The sample size calculation was conducted by using the two-sided Student sample t test (the test to be used for comparisons). The smallest difference to be detected in the mean (dmft/DMFT: decayed, missing, and filled teeth) between the two groups was 1 and the variance was estimated to be 2.0 in the controls and 2.5 in the cases. The level of significance was set at 0.05 and the power at 80 %. The estimated sample size was 60 cases and 60 controls in each age group: age group 1 (3–7 years) with deciduous teeth and age group 2 (8–12 years) with permanent incisors and first molars. Altogether, the estimated sample consisted of 240 participants in both case and control groups.
Cases were recruited from The Ahmed Gasim Cardiac Center in Khartoum, Sudan. The inclusion criterion was a confirmed diagnosis with a CHD in the age group 3–12 years, critically ill children, and those using medications other than for CHDs were excluded. Participants in the control group were recruited from schools and kindergartens in the Khartoum state. A stratified random sampling technique was used. The strata were rural–urban, with group matching of cases and controls in terms of age and sex. About 60 controls from each of the three districts of the Khartoum state (the districts: Khartoum City, Khartoum North, and Omdurman) were enrolled. According to the State Ministry of Primary and Pre-school Education, Khartoum City is divided into six localities (all urban), Khartoum North into five localities (three urban and two rural), and Omdurman into five localities (three urban and two rural). One rural and one urban locality were randomly selected from each of three districts (simple random sampling by draw) in Khartoum North and Omdurman and two urban localities were selected from Khartoum City. Thereafter, from each selected locality, one male school, one female school, and one kindergarten were randomly selected (simple random sampling from the list of the schools in each selected locality). Further, children were randomly selected from each of the schools (grade 1–grade 8 every tenth child). Children were excluded from the study if the consent form was not signed by one of the parents. The response rates among cases and controls were 94.8 and 95.7 %, respectively. Altogether, 117 cases and 190 controls were invited to participate, a total of 111 cases and 182 control participated, age group 1 with 62 cases and 101 controls and age group 2 with 49 cases and 81 controls.
Calibration and reliability tests
Two dentists, examiners 1 and 2 were trained and calibrated in detection of caries and detection of gingival inflammation and plaque (both theoretical and practical training) according to indices used by a dental pediatric specialist through the examination of 10 children (4–12 years). Cohen’s kappa test was used to measure inter- and intra-examiner reliability. Test I was the inter-examiner caries reliability test between examiners 1 and 2 based on the examination of all teeth of 20 children (6–12 years) for the detection of caries. Tests IIa and IIb measured intra-examiner reliability for caries detection by examiners 1 and 2, respectively, based on the examination of ten children for examiner 1 (test IIa) and another ten children for examiner 2 (test IIb) (6–12 years). Each examiner examined all teeth and the scores were recorded in clerking sheets. The same children were re-examined within a week interval and the new scores were recorded. Tests III and IV measured the inter-examiner agreement between examiners 1 and 2 with respect to the detection of gingivitis and plaque. This was based on the examination of the six index teeth for gingival index (GI) (test III) and for plaque index (PI) (test IV) of 20 children (6–12 years). The respective inter-examiner Cohen’s kappa values for tests I, III, and IV were 0.6, 0.6, and 0.6. The intra-examiner reliability tests, IIa and IIb, showed Cohen’s kappa values of 0.9 and 0.9.
Dental examinations
The data were based on clinical examination of the teeth and gingivae. Clinical dental examinations were conducted in a separate room close to the referral room, with good daylight. All children were seated in regular chairs. The examiners registered caries by using a plain mouth mirror and dental probe (explorer), following the WHO criteria and scoring system: caries was registered as lesion in the pits and fissures, in a smooth tooth surface with an unmistakable cavity, undermined enamel, or detectable softened floor or wall, destroyed crown, temporary fillings, and permanent fillings with secondary caries [27]. Decayed, missing, and filled teeth (dmft/DMFT) indices were used. In age group 1, the dmft data were based on all primary teeth, while for age group 2, the DMFT data were derived from permanent central and lateral incisors and the first permanent molars. The Significant Caries Index (SiC) was additionally calculated for age groups 1 and 2, using the online calculation of SiC from Malmö University, presenting the mean dmft /DMFT of the one-third of the participants with the highest dmft/DMFT scores [28].
Gingivitis was measured using a simplified form of the gingival index (GI) [29]. This index measures the site prevalence, indicating the number of affected sites in one patient. Six sites were examined (55/16, 51/11, 65/26, 75/36, 71/31 and 85/46). Dichotomous scoring was used, where visual inflammation and a tendency to spontaneous bleeding was scored as 1, while the absence of these signs was scored as 0. For comparison between the cases and the controls, both the mean number of sites affected with gingivitis and the number of individuals in the sample (as percentages) with at least one site with gingivitis were used.
The presence of plaque was measured using a simplified form of the plaque index (PI) [29]. A probe was pressed into the gingival margin parallel to the buccal tooth surface and six sites were examined (55/16, 51/11, 65/26, 75/36, 71/31, and 85/46). The presence of visible plaque on at least one surface was given a score of 1 and the absence of plaque was given the score 0. Both the mean number of sites with detectable plaque and the number of individuals out of the sample (percentages) with at least one site with plaque were used.
The entire oral cavity was also examined for the presence of any ulceration, trauma, abnormal discoloration, discharging sinuses, or swelling. Finally, gingival overgrowth was recorded using the simplified gingival overgrowth index, according to Miller and Damm, 1992 [30]. Participants with gingival overgrowth covering more than one third of at least one tooth were given a score of 1, while participants without overgrowth were given a score of 0.
Statistical methods
After data entry and review, statistical analyses were undertaken using SPSS version 22. Descriptive statistics included mean and standard deviations (SD) for continuous variables and frequency and percentages for categorical variables. A Student’s t test was used to compare means between groups, and the non-parametric Mann–Whitney test was applied for skewed data. The chi-square test and Fisher’s exact test were used to compare differences in percentages between groups. Stratified analyses were not considered necessary, because the sampling fractions within the strata were very similar. Logistic regression analysis was used to control for possible differences in socio-demographic variables between the groups, through the calculation of the odds ratio (OR) with 95 % confidence interval. The level of statistical significance was set at 0.05, with a confidence interval of 95 %.