Objective To report a case of Hutchinson-Gilford progeria syndrome,and to make a molecular genetic diagnosis.Methods Peripheral blood samples were collected from a 12-month-old child with HutchinsonGilford progeria syndrome,his parents,and 150 unrelated healthy controls.DNA was extracted from these samples,and PCR was performed to amplify exon 11 of the LMNA gene and its flanking sequence followed by sequencing.Results The patient presented with scleroderma-like tight skin on the trunk,hair loss and prominent scalp veins for 9 months,whose body height and weight were two standard deviations below the mean.Physical examination showed thin skin and prominent superficial veins over the scalp.The skin over the trunk was tight,hard,shiny and dry with a small number of tiny scales,mottled pigmentation and hypopigmentation,induration and hypertrophy giving a cobblestone-like appearance.The subcutaneous fat was diminished on the lower limbs.Skeletal X-ray examination of the left hand revealed phalangeal acroosteolysis.A known heterozygous mutation c.1824C ＞ T (dbSNP:rs58596362) was detected in the exon 11 of the LMNA gene in the proband,but not in his parents or the 150 unrelated healthy controls.Conclusion The mutation c.1824C ＞T in the LMNA gene may be responsible for Hutchinson-Gilford progeria syndrome in this patient.

Objective:To investigate the factors influencing fall risk scores in elderly individuals.Methods:A total of 4 419 individuals were randomly selected using the cluster sampling method from Beijing, Nanning(Guangxi), and Yinchuan(Ningxia).Data on demographic characteristics and fall-related incidents were gathered and analyzed for their correlation with fall risk scores.Results:The fall risk score showed significant associations with various factors, such as the history of falls within one year( β=-3.607, 95% CI: -3.881 to -3.332), care methods( β=2.442, 95% CI: 2.226 to 2.658), exercise( β=0.714, 95% CI: 0.443 to 0.986), retirement( β=-0.585, 95% CI: -0.819 to -0.351), age( β=0.173, 95% CI: 0.159 to 0.187), and use of walking aids( β=-3.737, 95% CI: -4.054 to -3.421). Conclusions:Fall risk scores in older adults are influenced by a variety of factors.Factors such as no history of falls within the past year, living independently, engaging in physical activity, and being employed may contribute to lower fall risk scores in older adults.