The Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, Changsha 410004, China.
Arch Iran Med. 2024 Jun 1;27(6):334-340. doi: 10.34172/aim.25459. Epub 2024 Apr 29.
This study aimed to explore the factors associated with extended length of stay (LOSE) for patients with tuberculosis (TB) in China, and construct a nomogram to predict it. In addition, the impact of extended hospital stay on short-term readmission after discharge was assessed.
A retrospective observational study was conducted at Changsha Central Hospital, from January 2018 to December 2020. Patients (≥18 years who were first admitted to hospital for TB treatment) with non-multidrug-resistant TB were selected using the World Health Organization's International Classification of Diseases, 10th Revision (ICD-10-CM), and the hospital's electronic medical record system.
A multivariate logistic regression analysis was used to evaluate the associations between TB and LOSE. The relationship between length of hospital stay and readmission within 31 days after discharge was assessed using a univariate Cox proportional risk model. A total of 14259 patients were included in this study (13629 patients in the development group and 630 in the validation group). The factors associated with extended hospital stays were age, smear positivity, extrapulmonary involvement, surgery, transfer from other medical structures, smoking, chronic liver disease, and drug-induced hepatitis. There was no statistical significance in the 31-day readmission rate of TB between the LOSE and length of stay≤14 days groups (hazards ratio: 0.92, 95% CI: 0.80-1.06, =0.229).
LOSE with TB was influenced by several patient-level factors, which were combined to construct a nomograph. The established nomograph can help hospital administrator and clinicians to identify patients with TB requiring extended hospital stays, and more efficiently plan for treatment programs and resource needs.
本研究旨在探讨中国肺结核(TB)患者住院时间延长(LOSE)的相关因素,并构建列线图预测其发生情况。此外,还评估了住院时间延长对出院后短期再入院的影响。
采用回顾性观察性研究,选取 2018 年 1 月至 2020 年 12 月在长沙市中心医院首次因 TB 住院治疗的年龄≥18 岁的非耐多药肺结核患者,使用世界卫生组织《国际疾病分类》第 10 次修订版(ICD-10-CM)和医院电子病历系统进行筛选。
采用多变量逻辑回归分析评估 TB 与 LOSE 的关系。采用单变量 Cox 比例风险模型评估住院时间与出院后 31 天内再入院的关系。本研究共纳入 14259 例患者(发展组 13629 例,验证组 630 例)。与住院时间延长相关的因素包括年龄、涂片阳性、肺外受累、手术、从其他医疗机构转来、吸烟、慢性肝病和药物性肝炎。在 LOSE 组和住院时间≤14 天组之间,TB 的 31 天再入院率无统计学意义(危险比:0.92,95%CI:0.80-1.06,=0.229)。
TB 患者的 LOSE 受到多个患者水平因素的影响,这些因素被组合在一起构建了一个列线图。所建立的列线图可以帮助医院管理者和临床医生识别需要延长住院时间的 TB 患者,并更有效地计划治疗方案和资源需求。