UNASSIGNED: This study utilized the National Inpatient Sample (NIS) provided by the Healthcare Cost and Utilization Project (HCUP). In accordance with HCUP 2023 Clinical Classifications Software Refined files, data were queried using the International Classification of Diseases 10th Edition codes for DS and AAS. Demographics, comorbidities, hospital course, and outcomes were examined and compared using binary and linear multivariate regression. IBM SPSS software was used for data analysis.
UNASSIGNED: Of the 213,095 patients in the NIS database admitted between 2016 and 2020 with AAS as their primary diagnosis, 7.2% were DS patients. DS patients were significantly younger (26.56 ± 20.81 vs. 49.39 ± 27.63, P < 0.01), less likely to be female (33.30% vs. 52.10%), and had fewer comorbidities (diabetes mellitus, hypertension, and hyperlipidemia) than non-DS patients. There was no significant difference in likelihood to undergo surgical fusion between DS patients and non-DS patients with AAS.
UNASSIGNED: This large-scale study using NIS data determined that 7.2% of all patients admitted to hospitals for AAS are DS patients. The analysis of demographics, hospital course, and outcomes can influence the development of treatment protocols for AAS in the DS population.
■这项研究利用了医疗保健成本和利用项目(HCUP)提供的全国住院患者样本(NIS)。根据HCUP2023临床分类软件细化文件,使用DS和AAS的国际疾病分类第10版代码查询数据。人口统计,合并症,医院课程,并使用二元和线性多元回归对结果进行检查和比较。采用IBMSPSS软件进行数据分析。
■在2016年至2020年间以AAS为主要诊断的NIS数据库中的213,095名患者中,7.2%为DS患者。DS患者明显年轻(26.56±20.81vs.49.39±27.63,P<0.01),不太可能是女性(33.30%vs.52.10%),并有较少的合并症(糖尿病,高血压,和高脂血症)比非DS患者。DS患者和非DS患者进行手术融合的可能性没有显着差异。
■这项使用NIS数据的大规模研究确定,因AAS入院的所有患者中有7.2%是DS患者。人口统计学分析,医院课程,结果会影响DS人群AAS治疗方案的发展。