Narrative review of the prevalence and distribution of acute pain in children in the self-care setting.

Acute pain among children is common, yet it may be underestimated and undertreated if the pain is not recognized. Assessing and managing pediatric pain can be complicated, and as such, measuring the prevalence of acute pain in children can be challenging. We sought to provide a consolidated review of the available data on the prevalence of commonly occurring acute pain in children in the self-care setting. An extensive literature search was performed to determine the prevalence of acute pain at multiple bodily locations in children aged between 3 months and 18 years. We considered the influence of age, sex, and sociodemographic factors on prevalence estimates. We also sought to identify some of the challenges involved in assessing and managing pediatric pain, thus shedding light on areas where there may be clinical and medical unmet needs. In general, a high prevalence of acute pain in children was detected, particularly headache, menstruation-related pain, and dental and back pain. Older age, female sex, and lower socioeconomic status were associated with increased pain prevalence. Risk factors were identified for all pain types and included psychological issues, stress, and unhealthy lifestyle habits. Owing to the heterogeneity in study populations, the prevalence estimates varied widely; there was also heterogeneity in the pain assessment tools utilized. The paucity of information regarding pain prevalence appears to be out of proportion with the burden of acute pain in children. This could indicate that clinicians may not be equipped with an optimal pain management strategy to guide their practice, especially regarding the use of developmentally appropriate pain assessment tools, without which prevalence data may not be captured. If acute pain is not accurately identified, it cannot be optimally treated. Further investigation is required to determine how the information from prevalence studies translates to the real-world setting.

PTHR1 polymorphisms influence BMD variation through effects on the growing skeleton.

We investigated whether polymorphisms in PTHR1 are associated with bone mineral density (BMD), to determine whether the association of this gene with BMD was due to effects on attainment of peak bone mass or effects on subsequent bone loss. The PTHR1 gene, including its 14 exons, their exon-intron boundaries, and 1,500 bp of its promoter region, was screened for polymorphisms by denaturing high-performance liquid chromatography (dHPLC) and sequencing in 36 osteoporotic cases. Eleven single-nucleotide polymorphisms (SNPs), one tetranucleotide repeat, and one tetranucleotide deletion were identified. A cohort of 634 families, including 1,236 men (39%) and 1,926 women (61%) ascertained with probands with low BMD (Z< -2.0) and the Children in Focus subset of the Avon Longitudinal Study of Parents and Children (ALSPAC) cohort (785 unrelated individuals, mean age 118 months), were genotyped for the five most informative SNPs (minor allele frequency >5%) and the tetranucleotide repeat. In our osteoporosis families, association was noted between lumbar spine BMD and alleles of a known functional tetranucleotide repeat (U4) in the PTHR1 promoter region (P = 0.042) and between two and three marker haplotypes of PTHR1 polymorphisms with lumbar spine, femoral neck, and total hip BMD (P = 0.021-0.047). This association was restricted to the youngest tertile of the population (age 16-39 years, P = 0.013-0.048). A similar association was found for the ALSPAC cohort: two marker haplotypes of SNPs A48609T and C52813T were associated with height (P = 0.006) and total body less head BMD (P = 0.02), corrected for age and gender, confirming the family findings. These findings suggest a role for PTHR1 variation in determining peak BMD.

Influence of LRP5 polymorphisms on normal variation in BMD.

UNLABELLED: Genetic studies based on cohorts with rare and extreme bone phenotypes have shown that the LRP5 gene is an important genetic modulator of BMD. Using family-based and case-control approaches, this study examines the role of the LRP5 gene in determining normal population variation of BMD and describes significant association and suggestive linkage between LRP5 gene polymorphisms and BMD in >900 individuals with a broad range of BMD. INTRODUCTION: Osteoporosis is a common, highly heritable condition determined by complex interactions of genetic and environmental etiologies. Genetic factors alone can account for 50-80% of the interindividual variation in BMD. Mutations in the LRP5 gene on chromosome 11q12-13 have been associated with rare syndromes characterized by extremely low or high BMD, but little is known about the contribution of this gene to the development of osteoporosis and determination of BMD in a normal population. MATERIALS AND METHODS: To examine the entire spectrum of low to high BMD, 152 osteoporotic probands, their families (597 individuals), and 160 women with elevated BMD (T score > 2.5) were recruited. BMD at the lumbar spine, femoral neck, and hip were measured in each subject using DXA. RESULTS: PAGE sequencing of the LRP5 gene revealed 10 single nucleotide polymorphisms (SNPs), 8 of which had allele frequencies of >5%, in exons 8, 9, 10, 15, and 18 and in introns 6, 7, and 21. Within families, a strong association was observed between an SNP at nucleotide C171346A in intron 21 and total hip BMD (p < 1 x 10(-5) in men only, p = 0.0019 in both men and women). This association was also observed in comparisons of osteoporotic probands and unrelated elevated BMD in women (p = 0.03), along with associations with markers in exons 8 (C135242T, p = 0.007) and 9 (C141759T, p = 0.02). Haplotypes composed of two to three of the SNPs G121513A, C135242T, G138351A, and C141759T were strongly associated with BMD when comparing osteoporotic probands and high BMD cases (p < 0.003). An SNP at nucleotide C165215T in exon 18 was linked to BMD at the lumbar spine, femoral neck, and total hip (parametric LOD scores = 2.8, 2.5, and 2.2 and nonparametric LOD scores = 0.3, 1.1, and 2.2, respectively) but was not genetically associated with BMD variation. CONCLUSION: These results show that common LRP5 polymorphisms contribute to the determination of BMD in the general population.