The Diagnosis and Initial Management of Children Presenting With Premature Loss of Primary Teeth Associated With a Systemic Condition

Background and objectivePediatric dentists face a serious challenge when encountering cases of primary teeth lost too soon due to systemic disorders such as diabetes mellitus, congenital heart disease, and chronic kidney disease. Prompt identification and treatment are necessary to minimize problems...

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Published in:Curēus (Palo Alto, CA) CA), 2024-06, Vol.16 (6), p.e62402
Main Authors: Rajput Hafiz Ali Shabbir, Ahmed, Akbar, Bilgrami Afreen, Haider Beenish, Nasir Khan Jamal, Afnan Muhammad
Format: Article
Language:English
Subjects:
Autoimmune diseases
Blood tests
Data collection
Dental occlusion
Dentistry
Documentation
Ethics
Families & family life
Genetic disorders
Hospitals
Illnesses
Infections
Medical diagnosis
Medical records
Oral hygiene
Pediatrics
Respiratory diseases
Socioeconomic factors
Socioeconomic status
Statistical analysis
Systemic diseases
Teeth
Variables
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Summary:Background and objectivePediatric dentists face a serious challenge when encountering cases of primary teeth lost too soon due to systemic disorders such as diabetes mellitus, congenital heart disease, and chronic kidney disease. Prompt identification and treatment are necessary to minimize problems in these patients. This study aimed to better understand and enhance clinical outcomes in pediatric dentistry treatment by investigating diagnostic modalities and early therapy methods for kids who lose their primary teeth too soon because of systemic disorders.MethodologyWe conducted a retrospective observational study to examine the early loss of primary teeth in children aged 6-10 years with a history of systemic diseases at Naseer Teaching & MMC-General Hospital, Peshawar; Hayatabad Medical Complex, Peshawar; DHQ Teaching Hospital, Kohat; and Fauji Foundation Hospital, Multan from January to December 2022. After carefully gathering data from medical records, a sample of 360 patients meeting the inclusion criteria was examined. SPSS Statistics version 27 (IBM Corp., Armonk, NY) was used for the statistical analysis. Demographic characteristics, clinical manifestations, and management approaches were compiled using descriptive statistics. For categorical data, frequency distributions and percentages were determined, and for continuous variables, means and standard deviations (SD) were calculated. Regression analysis was conducted to analyze relationships between related variables and treatment outcomes. A p-value
ISSN:2168-8184
2168-8184
DOI:10.7759/cureus.62402